Kin selection subverts mitochondrial transmission bias and allows male mtDNA evolution

Supplementary material

Supplementary methods

Schematics for replacement of the unknown Sxl-GFP nuclear background with the isogenic w¹¹¹⁸ background

Figure S1: Crossing scheme used to create a standard homozygous GFP-w line. Males from this line were crossed with females carrying a specific mitochondrial haplotype, to create experimental mitolines. These newly produced lines carried the mitochondrial haplotype of the female and were heterozygous for the Sxl-GFP construct. G1 = the first generation of the cross.

Data analysis and supplementary results

Here we include all code used to run our analysis, our rationale behind the modelling approaches, and all remaining supplementary tables and figures.

Load packages, read in the data and create some helpful functions

# load relevant packages

library(lme4) # for the lmer and glmer mixed model functions
library(lmerTest) # Used to get p-values for lmer models using simulation. It over-writes lmer() with a new version, which gives p-values
library(glmmTMB) # for zero-inflated or hurdle glms
library(brms) # for Bayesian models
library(car) # for type III Anova's
library(dplyr) # data re-shaping
library(MuMIn) # for model selection and averaging
library(ggplot2) # for plots
library(ggThemeAssist) # a plot formatting add in
library(ggridges) # for joy plots
library(ggExtra) # for ggplot enhancements - primarily ggMarginal()
library(ggstance) # for ggplot enhancements - can create more horizontal plots
library(ggpubr) # for the ggarrange function
library(ggbeeswarm) # violin plots with data points
library(ggResidpanel) # for model assumption plots
library(kableExtra) # nice tables that can scroll
library(pander) # more nice tables
library(stringr) # helps build functions
library(forcats) # for changing the order of factors
library(groupdata2) # for assigning rows in data-frames to groups

# Read in data frame and add pipette tip column

all_data <- read.csv("mtDNA_larval_competition_data.csv") %>% 
  arrange(Individual) %>%
  mutate(duplicate = str_extract(Strain, "[:digit:]")) %>%
  group(n = 2, method = "greedy") %>% rename(Pipette_tip = .groups)

# Create a function for standard error - generally useful and needed for later

SE <- function(x) sd(x)/sqrt(length(x))

# helper for saving stuff and naming the file object.rds

save_it <- function(object){
  saveRDS(get(object), file = paste(object, ".rds", sep = ""))}

# Define a standard dodge for the error bar plots

pd <- position_dodge(0.75) # move them 0.3 to the left and right


# function for finding CIs for binomial data

get_CIs_for_binomial_trials <- function(success, failure){
  
  output <- as.data.frame(matrix(NA, nrow = length(success), ncol = 5))
  
  for(i in 1:length(success)){
    n <- success[i] + failure[i]
    x <- binom.test(success[i], n)
    output[i,] <- c(x$estimate,
                    as.numeric(x$conf.int),
                    sqrt(x$estimate * (1-x$estimate)/n), # binomial SE = sqrt(p(1-p)/n)
                    n)
  }
  names(output) <- c("Proportion", "lowerCI", "upperCI", "SE", "n")
  output
}
# e.g. get_CIs_for_binomial_trials(survived = c(10,100), died = c(50,30))

Data preparation for all responses

# Clean the dataset up for analysis

# Select the columns we're interested in and rename them

fitness_data <- dplyr::select(all_data, Individual, Block, duplicate,  Pipette_tip, Sex, Focal.haplotype, Social.haplotype, Mortality,  Social.Survival, Development.time..hrs., Day.emerged, Hours.from.lights.on, Wing.size..mm., Female.offspring, Male.offspring, Total.female.assay, Total.red.all.vials, Total.bw.all.vials, Proportion.red.all.vials) %>% 
  rename(Block = Block, Duplicate = duplicate, Day = Day.emerged, Hours = Hours.from.lights.on, Survived = Mortality, Focal_haplotype = Focal.haplotype, Social_haplotype = Social.haplotype, Social_survival = Social.Survival, Dev_time = Development.time..hrs., Wing_length = Wing.size..mm., Maternal_female_offspring = Female.offspring, Maternal_male_offspring = Male.offspring, Maternal_total_offspring = Total.female.assay, Paternal_focal_offspring = Total.red.all.vials, Patneral_bw_offspring = Total.bw.all.vials, Proportion_focal = Proportion.red.all.vials)

# Define new levels for mortality to make renaming possible 

levels(fitness_data$Survived) <- c(levels(fitness_data$Survived), "NO")
levels(fitness_data$Survived) <- c(levels(fitness_data$Survived), "YES")

# Rename the mortality responses
# L means died as larva, P means died as pupae, N means did not die (i.e. eclosed as an adult)

fitness_data$Survived[fitness_data$Survived == 'L'] <- 'NO'
fitness_data$Survived[fitness_data$Survived == 'P'] <- 'NO'
fitness_data$Survived[fitness_data$Survived == 'N'] <- 'YES'

# Now that it makes sense change "YES" to 1 and "NO" to 0 so we can fit a binomial GLM.

levels(fitness_data$Survived) <- c(levels(fitness_data$Survived), "1")
levels(fitness_data$Survived) <- c(levels(fitness_data$Survived), "0")

fitness_data$Survived[fitness_data$Survived == "YES"] <- 1
fitness_data$Survived[fitness_data$Survived == "NO"] <- 0

# Make the factor numeric 

fitness_data$Survived <- as.numeric(as.character(fitness_data$Survived))


# Create specific datasets for each fitness trait

# Remove all rows that contain an NA value in the survival column. The NAs mean things like the GFP sorting did not work, or the vial was never even set up due to a shortage of larvae. They are not meaningful data, and we remove them here.

survival <- fitness_data %>% filter(!is.na(Survived)) 
  
# Remove all rows that contain an NA value in the development time column. This instances represent flies where we failed to measure development time. 

larval_development <- fitness_data %>% filter(!is.na(Dev_time)) 

# Remove all rows that contain an NA value in the wing length column. Wing length was not measured in Blocks 1 and 2.

body_size <- fitness_data %>% filter(!is.na(Wing_length)) 

# Remove all rows that contain an NA value in the female reproductive output column, and where females did not survive to adulthood (coded as producing 0 offspring). 

female_reproductive_output <- fitness_data %>% filter(!is.na(Maternal_total_offspring), Survived == 1)


# Male adult fitness

# First remove females from the dataset.

Male_fitness <- all_data %>% filter(!is.na(Total.red.all.vials)) 

# Create an offspring counted column so that the data is correctly formatted for a binomial success-failure model.

Male_fitness$Offspring_counted <- Male_fitness$Total.red.all.vials + Male_fitness$Total.bw.all.vials

# Now lets remove vials where the female produced 0 offspring (this includes trials where the male died in development)

Male_fitness <- Male_fitness %>% filter(!(Offspring_counted == 0))

# Select relevant columns and rename variables 

Male_fitness <- dplyr::select(Male_fitness, Individual, Block, Pipette_tip, Focal.haplotype, Social.haplotype, Social.Survival,  Mortality, Development.time..hrs., Day.emerged, Wing.size..mm., Hours.from.lights.on, Total.red.all.vials, Total.bw.all.vials, Offspring_counted,  Proportion.red.all.vials, duplicate) %>% 
  rename(Focal_male_offspring = Total.red.all.vials, Block = Block, Day = Day.emerged, Hours = Hours.from.lights.on, Survived = Mortality, Focal_haplotype = Focal.haplotype, Social_haplotype = Social.haplotype, Social_survival = Social.Survival, Dev_time = Development.time..hrs., Wing_length = Wing.size..mm., Proportion_focal = Proportion.red.all.vials, Bw_offspring = Total.bw.all.vials, Duplicate = duplicate)

# Create a correlation matrix for male and female life-history traits 

Male_cor <- fitness_data %>% 
  select(Dev_time, Wing_length, Paternal_focal_offspring, Proportion_focal) %>%
  rename(Development_time = Dev_time, Offspring_produced = Paternal_focal_offspring, Proportion_offspring_produced = Proportion_focal) %>%
  as.data.frame()

Male_cor$Pipette_tip <- as.numeric(as.character(Male_cor$Pipette_tip))
Male_cor <- Male_cor %>% select(-(Pipette_tip))

Female_cor <- fitness_data %>% 
  filter(!is.na(Survived)) %>%
  filter(Sex == "F") %>%
  select(Dev_time, Wing_length, Maternal_female_offspring, Maternal_male_offspring) %>%
  rename(Development_time = Dev_time, Female_offspring = Maternal_female_offspring, Male_offspring = Maternal_male_offspring) %>% as.data.frame()

Female_cor$Pipette_tip <- as.numeric(as.character(Female_cor$Pipette_tip))
Female_cor <- Female_cor %>% select(-(Pipette_tip))

# Male_correlations <- cor(Male_cor, use = "complete.obs") %>% pander(split.cell = 40, split.table = Inf)
# Female_correlations <- cor(Female_cor, use = "complete.obs") %>% pander(split.cell = 40, split.table = Inf)

Modelling approach

We analysed the data using generalised linear mixed models in the lmer package for R.

Fixed effects

For the analysis of fitness traits expressed in both sexes (survival, development time and body size), we are interested in the effect of an individual’s focal mtDNA, the mtDNA of a social competitor, the effect of a social competitors success, and the effect of sex on fitness. To identify these potential effects each model contained the following fixed effects, and interactions where biologically relevant:

Focal haplotype: the mtDNA haplotype that an individual carries.

Social haplotype: the mtDNA haplotype that a social partner during larval development carries.

Social survival: the survival outcome of the social partner.

Sex: is the focal individual female or male? The social partner will always be of the opposite sex to the focal individual.

We also include:

Duplicate: Each haplotype has been introgressed alongside the w¹¹¹⁸ nuclear background in two independent duplicates. WIthin each block we ran multiple replicates that were split in two: half used only duplicate one will the other half used only duplicate two. This fixed effect accounts for any nuclear differences that may have arisen between duplicates.

Random effects

Block: accounts for differences in the response variable between experimental blocks (e.g. to variance in temperature or composition of the fly food). In our experiment a Block contained multiple replicates and a replicate was made up of 25 different cells each housing a pair of larvae.

Model evaluation

Each model was evaluated via AICc values using the dredge function, from the Mumin package. There was rarely a single model that was unequivocally the best fit to the data, so we conducted model averaging for the set of models where delta was < 6, as suggested by Symonds and Moussalli (2011). The present study is a planned experiment to measure the effect of mtDNA on fitness, so we derived model estimates from the conditional model averages.

Larval fitness measures

Egg to adult viability analysis

We fit a glm with binomial errors to model survival

The model:

Survived ~ Focal_haplotype * Social_haplotype * Sex + Duplicate + (1|Block) + (1|Pipette_tip)

# Fit the global model

survival_model <- lme4::glmer(Survived ~ Focal_haplotype * Social_haplotype * Sex + factor(Duplicate) + (1|Block) + (1|Pipette_tip), data = survival, family = "binomial", control = glmerControl(optimizer = "Nelder_Mead", optCtrl=list(maxfun=100000)), na.action = na.fail)

Model evaluation

Table S1: Evaluation of the survivorship model. All possible models were evaluated from the global model that included a three-way interaction between focal haplotype, social haplotype and social survival, the stand alone fixed effects sex and duplciate, as well as the random factor block. As there was no clear top model, the final model was calculated via model averaging.

# Compare all possible combinations of models (from the global model)

if(file.exists("survival_dredge.rds")){ # If already done, just load the results
  survival_dredge <- readRDS("survival_dredge.rds")
} else {survival_dredge <- dredge(survival_model)                  # If not already done, run all the models and save the results
lapply(c("survival_dredge"), save_it)
}


survival_table <- subset(survival_dredge, delta < 6, recalc.weights = FALSE) %>% as.data.frame()

names(survival_table)[names(survival_table) == "(Intercept)"] <- "Intercept"
names(survival_table)[names(survival_table) == "factor(Duplicate)"] <- "Duplicate"
names(survival_table)[names(survival_table) == "Focal_haplotype"] <- "Focal haplotype"
names(survival_table)[names(survival_table) == "Sex"] <- "Sex"
names(survival_table)[names(survival_table) == "Social_haplotype"] <- "Social haplotype"
names(survival_table)[names(survival_table) == "Focal_haplotype:Sex"] <- "Focal haplotype x Sex"
names(survival_table)[names(survival_table) == "Focal_haplotype:Social_haplotype"] <- "Focal haplotype x Social haplotype"
names(survival_table)[names(survival_table) == "Sex:Social_haplotype"] <- "Social haplotype x Sex"
names(survival_table)[names(survival_table) == "Focal_haplotype:Sex:Social_haplotype"] <- "Focal haplotype x Social haplotype x Sex"
names(survival_table)[names(survival_table) == "df"] <- "Degrees of freedom"
names(survival_table)[names(survival_table) == "logLik"] <- "Log likelihood"
names(survival_table)[names(survival_table) == "AICc"] <- "AICc"
names(survival_table)[names(survival_table) == "delta"] <- "Delta"
names(survival_table)[names(survival_table) == "weight"] <- "Weight"

pander(survival_table, split.cell = 40, split.table = Inf)

	Intercept	Duplicate	Focal haplotype	Sex	Social haplotype	Focal haplotype x Sex	Focal haplotype x Social haplotype	Social haplotype x Sex	Focal haplotype x Social haplotype x Sex	Degrees of freedom	Log likelihood	AICc	Delta	Weight
2	-0.09608	+	NA	NA	NA	NA	NA	NA	NA	4	-1301	2609	0	0.3557
6	-0.1418	+	NA	+	NA	NA	NA	NA	NA	5	-1300	2610	1.097	0.2055
4	-0.0005772	+	+	NA	NA	NA	NA	NA	NA	8	-1297	2610	1.162	0.199
8	-0.0453	+	+	+	NA	NA	NA	NA	NA	9	-1297	2611	2.304	0.1124
10	-0.1255	+	NA	NA	+	NA	NA	NA	NA	8	-1299	2614	5.407	0.02382
1	-0.2129	NA	NA	NA	NA	NA	NA	NA	NA	3	-1304	2615	5.687	0.0207

Model averaging

Table 1: Conditional model coefficients, standard error and 95% confidence limits are shown for the survivorship to adulthood averaged model. Bold rows indicate signficant effects.

# average the models with delta < 6

Survival_avg <- model.avg(survival_dredge, subset = delta < 6)

survival_CIs <- confint(model.avg(survival_dredge, subset = delta < 6)) %>% as.data.frame()

survival_estimate <- coefTable(model.avg(survival_dredge, subset = delta < 6)) %>% as.data.frame()

survival_model_avg <- data.frame(survival_estimate, survival_CIs) %>% select(Estimate, Std..Error,  X2.5.., X97.5..)

names(survival_model_avg)[names(survival_model_avg) == "Estimate"] <- "Conditional average estimate"
names(survival_model_avg)[names(survival_model_avg) == "Std..Error"] <- "Standard Error"
names(survival_model_avg)[names(survival_model_avg) == "X2.5.."] <- "2.5% Interval"
names(survival_model_avg)[names(survival_model_avg) == "X97.5.."] <- "97.5% Interval"


pander(survival_model_avg, split.cell = 40, split.table = Inf, emphasize.strong.rows = (2))

	Conditional average estimate	Standard Error	2.5% Interval	97.5% Interval
(Intercept)	-0.08278	0.3146	-0.6994	0.5338
factor(Duplicate)2	-0.3077	0.1113	-0.5259	-0.08957
SexM	0.09071	0.09544	-0.09635	0.2778
Focal_haplotypeBrownsville	-0.08159	0.151	-0.3776	0.2144
Focal_haplotypeDahomey	0.07345	0.1512	-0.2228	0.3697
Focal_haplotypeIsrael	-0.2627	0.1529	-0.5624	0.03701
Focal_haplotypeSweden	-0.2193	0.1536	-0.5204	0.0818
Social_haplotypeBrownsville	-0.07158	0.1518	-0.3692	0.226
Social_haplotypeDahomey	0.037	0.152	-0.2608	0.3348
Social_haplotypeIsrael	0.169	0.152	-0.1288	0.4669
Social_haplotypeSweden	0.01623	0.1534	-0.2845	0.317

# The full average provides a parameter average across all models considered, including ones where the parameter coefficient is set to 0. The conditional average reports coefficents for only the models where the parameter is included.

survival_plot_data <- survival %>% 
  mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
        Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
         Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood"))


survival_plot_summary <- survival_plot_data %>% 
  dplyr::group_by(Social_survival) %>%
  dplyr::summarise(number_surviving = sum(Survived), number_died = sum(Survived == 0)) %>%
  as.data.frame()

survival_CIs <- get_CIs_for_binomial_trials(survival_plot_summary$number_surviving, survival_plot_summary$number_died) %>% rename(Survived = Proportion)

survival_plot_summary <- cbind(survival_plot_summary, survival_CIs)

survival_plot_data %>%
  ggplot(aes(x = Social_survival, y = Survived, fill = Social_survival, colour = Social_survival)) +
  #geom_quasirandom(data = survival_plot_data, width = 0.5, alpha =  0.5) +
  scale_colour_manual(values = c("Died as larva" = "#a50f15", "Died as pupa" = "#fe9929", "Survived to adulthood" = "#41b6c4")) +
  geom_point(data = survival_plot_summary, aes(x = Social_survival, y = Survived), size = 3, colour='black') +
  geom_errorbar(data = survival_plot_summary, aes(x = Social_survival, ymax = upperCI, ymin = lowerCI, width = 0), colour = "black") +
  labs(x = "Survival outcome of social partner", y = "Proportion of larvae surviving to adulthood") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

#**Figure 1:** Survivorship to adulthood is affected by the success of a social partner. Black points show the mean proportion of larvae that successfully eclosed, with 95% confidence limits. 

survival_mtDNA_summary <- survival %>% 
  dplyr::group_by(Focal_haplotype) %>%
  dplyr::summarise(number_surviving = sum(Survived), number_died = sum(Survived == 0)) %>%
  as.data.frame()

survival_mtDNA_CIs <- get_CIs_for_binomial_trials(survival_mtDNA_summary$number_surviving, survival_mtDNA_summary$number_died) %>% rename(Survived = Proportion)

survival_mtDNA_summary <- cbind(survival_mtDNA_summary, survival_mtDNA_CIs)

survival_mtDNA_summary %>%
  ggplot(aes(x = Focal_haplotype, y = Survived, fill = Focal_haplotype, colour = Focal_haplotype)) +
  #geom_quasirandom(data = survival_plot_data, width = 0.5, alpha =  0.5) +
  #scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
  geom_point(data = survival_mtDNA_summary, aes(x = Focal_haplotype, y = Survived), size = 3, colour='black') +
  geom_errorbar(data = survival_mtDNA_summary, aes(x = Focal_haplotype, ymax = upperCI, ymin = lowerCI, width = 0), colour = "black") +
  labs(x = "mtDNA haplotype", y = "Proportion of larvae surviving to adulthood") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

Figure 1: The black points show the mean proportion of larvae surviving to eclose for each mtDNA haplotype and its 95% confidence limits.

check these confidence intervals

Development time analysis

density_development_plot <- ggplot(larval_development)+
  stat_density_ridges(aes(x=Dev_time, y = NA, fill = Sex), alpha = 0.7, scale = 12, position = position_nudge(y = -0.5), show.legend = T) +
  geom_vline(xintercept = 238, linetype = 2) +
  geom_vline(xintercept = 262, linetype = 2) +
  geom_vline(xintercept = 286, linetype = 2) +
  xlab("Egg-to-adult development time (hours)") +
  ylab("Kernel density estimate") +
  theme_bw()+
   scale_fill_manual(values = c("F" = "#e41a1c", "M" = "#377eb8"), labels = c("Female", "Male")) +
  scale_x_continuous(limits = c(220, 310), breaks = c(220, 230, 240, 250, 260, 270, 280, 290, 300, 310)) +
  scale_y_discrete(expand = c(.0,0.0))+
  theme(panel.spacing = unit(0.1, "lines"),
        text = element_text(size=16),
        panel.border= element_blank(),
        axis.line=element_line(), 
        panel.grid.major.x = element_blank(),
        panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        panel.grid.minor.x = element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank(),
        axis.title.x = element_text(hjust = 0.5, size = 14))
density_development_plot

Figure S2: The distribution of egg-to-adult development time, split by sex. Dashed lines indicate when lights were turned each morning and highlight the relationship between light and eclosion.

The response variable has a trimodal distribution, that can be potentially explained by the lab’s artificial day-night cycle. When the lights turn on at 7am, eclosion is stimulated.

The model:

Dev_time ~ Focal_haplotype * Social_haplotype * Sex + Duplicate + (1|Block) + (1|Pipette_tip)

# Fit the linear model

linear_dev_model <- lmer(Dev_time ~ Focal_haplotype * Social_haplotype * Sex + factor(Duplicate) + (1|Block) + (1|Pipette_tip), larval_development, na.action = na.fail, REML = FALSE)

Lets have a look at model diagnostics

resid_panel(linear_dev_model)

Despite the data being trimodal, the linear model appears to fit the data adequately. The residuals vs fitted plot indicates that the mean and variance share no relationship. The Q-Q Plot shows that points fall off at the extremes, but generally conform to a linear pattern.

Model evaluation

Table S2: Evaluation of the development time model. All possible models were evaluated from the global model that included a three-way interaction between focal haplotype, social haplotype and social survival, the stand alone fixed effects sex and duplciate, as well as the random factor block. As there was no clear top model, the final model was calculated via model averaging.

# Use dredge to compare all possible models derived from the global model

Dev_time_linear_dredge <- dredge(linear_dev_model, extra = "R^2")

development_table <- subset(Dev_time_linear_dredge, delta < 6, recalc.weights = FALSE)  %>% as.data.frame()

names(development_table)[names(development_table) == "(Intercept)"] <- "Intercept"
names(development_table)[names(development_table) == "(factor(Duplicate))"] <- "Duplicate"
names(development_table)[names(development_table) == "Focal_haplotype"] <- "Focal haplotype"
names(development_table)[names(development_table) == "Social_haplotype"] <- "Social haplotype"
names(development_table)[names(development_table) == "Focal_haplotype:Sex"] <- "Focal haplotype x Sex"
names(development_table)[names(development_table) == "Focal_haplotype:Social_haplotype"] <- "Focal haplotype x Social haplotype"
names(development_table)[names(development_table) == "Sex:Social_haplotype"] <- "Social haplotype x Sex"
names(development_table)[names(development_table) == "Focal_haplotype:Sex:Social_haplotype"] <- "Focal haplotype x Social haplotype x Sex"
names(development_table)[names(development_table) == "df"] <- "Degrees of freedom"
names(development_table)[names(development_table) == "logLik"] <- "Log likelihood"
names(development_table)[names(development_table) == "AICc"] <- "AICc"
names(development_table)[names(development_table) == "delta"] <- "Delta"
names(development_table)[names(development_table) == "weight"] <- "Weight"

pander(development_table, split.cell = 40, split.table = Inf)

	Intercept	factor(Duplicate)	Focal haplotype	Sex	Social haplotype	Focal haplotype x Sex	Focal haplotype x Social haplotype	Social haplotype x Sex	Focal haplotype x Social haplotype x Sex	R^2	Degrees of freedom	Log likelihood	AICc	Delta	Weight
6	261.1	+	NA	+	NA	NA	NA	NA	NA	0.1235	6	-2998	6007	0	0.3603
5	260.6	NA	NA	+	NA	NA	NA	NA	NA	0.1207	5	-2999	6008	0.296	0.3108
8	262.5	+	+	+	NA	NA	NA	NA	NA	0.1299	10	-2995	6010	2.679	0.09438
7	261.9	NA	+	+	NA	NA	NA	NA	NA	0.1272	9	-2996	6010	2.945	0.08266
2	262.3	+	NA	NA	NA	NA	NA	NA	NA	0.116	5	-3001	6012	4.305	0.04186
1	261.7	NA	NA	NA	NA	NA	NA	NA	NA	0.1132	4	-3002	6012	4.651	0.03522

Model averaging

Table 2: Conditional model coefficients, standard error and 95% confidence limits are shown for the egg-to-adult development time averaged model. Bold rows indicate signficant effects.

# Model averaging

Dev_time_avg <- (model.avg(Dev_time_linear_dredge, subset = delta < 6))

Dev_CIs <- confint(model.avg(Dev_time_linear_dredge, subset = delta < 6)) %>% as.data.frame()

Dev_estimate <- coefTable(model.avg(Dev_time_linear_dredge, subset = delta < 6)) %>% as.data.frame()

Dev_model_avg <- data.frame(Dev_estimate, Dev_CIs) %>% select(Estimate, Std..Error,  X2.5.., X97.5..)

names(Dev_model_avg)[names(Dev_model_avg) == "Estimate"] <- "Conditional average estimate"
names(Dev_model_avg)[names(Dev_model_avg) == "Std..Error"] <- "Standard Error"
names(Dev_model_avg)[names(Dev_model_avg) == "X2.5.."] <- "2.5% Interval"
names(Dev_model_avg)[names(Dev_model_avg) == "X97.5.."] <- "97.5% Interval"


pander(Dev_model_avg, split.cell = 40, split.table = Inf, emphasize.strong.rows = 3)

	Conditional average estimate	Standard Error	2.5% Interval	97.5% Interval
(Intercept)	261.2	2.39	256.5	265.9
factor(Duplicate)2	-1.71	1.119	-3.904	0.4842
SexM	2.247	0.8919	0.4993	3.996
Focal_haplotypeBrownsville	-1.928	1.449	-4.767	0.9115
Focal_haplotypeDahomey	-2.71	1.416	-5.486	0.06589
Focal_haplotypeIsrael	-1.917	1.502	-4.86	1.026
Focal_haplotypeSweden	-0.09253	1.511	-3.054	2.869

larval_development_plot_data <- larval_development %>% 
  mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
        Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
         Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood"),
        Sex = replace(as.character(Sex), Sex == "F", "Female"),
         Sex = replace(as.character(Sex), Sex == "M", "Male"))

larval_development_summary <- larval_development_plot_data %>% 
  dplyr::group_by(Social_survival, Sex) %>%
  dplyr::summarise(Mean_Dev_time = mean(Dev_time), Lower = (Mean_Dev_time - SE(Dev_time)* 1.96), Upper = (Mean_Dev_time + SE(Dev_time)*1.96), n = n()) %>% rename(Dev_time = Mean_Dev_time)


larval_development_plot_data %>%
  ggplot(aes(x = Social_survival, y = Dev_time, fill = Social_survival, colour = Social_survival)) +
  geom_quasirandom(data = larval_development_plot_data, width = 0.3, size = 2, alpha =  0.5) +
  scale_colour_manual(values = c("Died as larva" = "#a50f15", "Died as pupa" = "#fe9929", "Survived to adulthood" = "#41b6c4")) +
  geom_point(data = larval_development_summary, aes(x = Social_survival, y = Dev_time), size = 3, colour='black') +
  geom_errorbar(data = larval_development_summary, aes(x = Social_survival, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
  geom_hline(yintercept = c(238, 262, 286), linetype = 2, colour = "grey", alpha = 0.5) +
  facet_wrap(~ Sex) +
  labs(x = "Survival outcome of social partner", y = "Egg-to-adult development time (hrs)") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

# **Figure 3:** Egg-to-adult development time is affected by an individual's sex and the success of a social competitor. The coloured points show the development time for individual flies. The black points show the mean development time for males and females and its 95% confidence limits. Dashed lines indicate when lights were turned each morning and highlight the relationship between light and eclosion.

larval_development_plot_data <- larval_development %>% 
  mutate(Sex = replace(as.character(Sex), Sex == "F", "Female"),
         Sex = replace(as.character(Sex), Sex == "M", "Male"))


development_mtDNA_summary <- larval_development_plot_data %>% 
  dplyr::group_by(Focal_haplotype) %>%
  dplyr::summarise(Mean_Dev_time = mean(Dev_time), Lower = (Mean_Dev_time - SE(Dev_time)* 1.96), Upper = (Mean_Dev_time + SE(Dev_time)*1.96), n = n()) %>% rename(Dev_time = Mean_Dev_time)


larval_development_plot_data %>%
  ggplot(aes(x = Focal_haplotype, y = Dev_time, fill = Focal_haplotype, colour = Focal_haplotype)) +
  geom_quasirandom(data = larval_development_plot_data, width = 0.3, size = 2, alpha =  0.5) +
  scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
  geom_point(data = development_mtDNA_summary, aes(x = Focal_haplotype, y = Dev_time), size = 3, colour='black') +
  geom_errorbar(data = development_mtDNA_summary, aes(x = Focal_haplotype, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
  geom_hline(yintercept = c(238, 262, 286), linetype = 2, colour = "grey", alpha = 0.5) +
  labs(x = "mtDNA haplotype", y = "Egg-to-adult development time (hrs)") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank())

Figure 2: Egg-to-adult development time is affected by an individual’s mtDNA haplotype. The coloured points show the development time for individual flies. The black points show the mean development time for males and females and its 95% confidence limits.

Adult fitness measures

Body size analysis

We use wing length as a proxy for adult body size. Errors are normally distributed, therefore we fit a linear mixed model.

The model:

Wing_length ~ Focal_haplotype * Social_haplotype * Sex + Duplicate + (1|Block) + (1|Pipette_tip)

body_size_model<- lmer(Wing_length ~ Focal_haplotype * Social_haplotype * Sex + factor(Duplicate) + (1|Block) + (1|Pipette_tip), body_size, na.action = na.fail, REML = FALSE)

Model evaluation

Table S3: Evaluation of the wing length model. All possible models were evaluated from the global model that included a three-way interaction between focal haplotype, social haplotype and social survival, the standalone fixed effects sex and duplicate, as well as the random factor ‘Block’. As there was no clear top model, the final model was calculated via model averaging.

# Compare all possible combinations of models (from the global model)

body_size_dredge <- dredge(body_size_model)

size_table <- subset(body_size_dredge, delta < 6, recalc.weights = FALSE) %>% as.data.frame()


names(size_table)[names(size_table) == "(Intercept)"] <- "Intercept"
names(size_table)[names(size_table) == "factor(Duplicate)"] <- "Duplicate"
names(size_table)[names(size_table) == "Focal_haplotype"] <- "Focal haplotype"
names(size_table)[names(size_table) == "Sex"] <- "Sex"
names(size_table)[names(size_table) == "Social_haplotype"] <- "Social haplotype"
names(size_table)[names(size_table) == "Focal_haplotype:Sex"] <- "Focal haplotype x Sex"
names(size_table)[names(size_table) == "Focal_haplotype:Social_haplotype"] <- "Focal haplotype x Social haplotype"
names(size_table)[names(size_table) == "Sex:Social_haplotype"] <- "Social haplotype x Sex"
names(size_table)[names(size_table) == "Focal_haplotype:Sex:Social_haplotype"] <- "Focal haplotype x Social haplotype x Sex"
names(size_table)[names(size_table) == "df"] <- "Degrees of freedom"
names(size_table)[names(size_table) == "logLik"] <- "Log likelihood"
names(size_table)[names(size_table) == "AICc"] <- "AICc"
names(size_table)[names(size_table) == "delta"] <- "Delta"
names(size_table)[names(size_table) == "weight"] <- "Weight"

pander(size_table, split.cell = 40, split.table = Inf)

	Intercept	Duplicate	Focal haplotype	Sex	Social haplotype	Focal haplotype x Sex	Focal haplotype x Social haplotype	Social haplotype x Sex	Focal haplotype x Social haplotype x Sex	Degrees of freedom	Log likelihood	AICc	Delta	Weight
5	1.063	NA	NA	+	NA	NA	NA	NA	NA	5	440.6	-871	0	0.6733
6	1.063	+	NA	+	NA	NA	NA	NA	NA	6	440.6	-869	2.019	0.2454

Model averaging

Table 3: Conditional model coefficients, standard error and 95% confidence limits are shown for the wing length averaged model. Bold rows indicate signficant effects.

# Model averaging

#summary(model.avg(body_size_dredge, subset = delta < 6))

Size_CIs <- confint(model.avg(body_size_dredge, subset = delta < 6)) %>% as.data.frame()

Size_estimate <- coefTable(model.avg(body_size_dredge, subset = delta < 6)) %>% as.data.frame()

Size_model_avg <- data.frame(Size_estimate, Size_CIs) %>% select(Estimate, Std..Error,  X2.5.., X97.5..)

names(Size_model_avg)[names(Size_model_avg) == "Estimate"] <- "Conditional average estimate"
names(Size_model_avg)[names(Size_model_avg) == "Std..Error"] <- "Standard Error"
names(Size_model_avg)[names(Size_model_avg) == "X2.5.."] <- "2.5% Interval"
names(Size_model_avg)[names(Size_model_avg) == "X97.5.."] <- "97.5% Interval"

pander(Size_model_avg, split.cell = 40, split.table = Inf, emphasize.strong.rows = (2))

	Conditional average estimate	Standard Error	2.5% Interval	97.5% Interval
(Intercept)	1.063	0.0156	1.032	1.093
SexM	-0.08628	0.007203	-0.1004	-0.07216
factor(Duplicate)2	-0.002049	0.01004	-0.02173	0.01763

body_size_plot_data <- body_size %>% 
  mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
        Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
         Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood"),
        Sex = replace(as.character(Sex), Sex == "F", "Female"),
         Sex = replace(as.character(Sex), Sex == "M", "Male"))

body_size_summary <- body_size_plot_data %>% 
  dplyr::group_by(Sex) %>%
  dplyr::summarise(Mean_wing_length = mean(Wing_length), Lower = (Mean_wing_length - SE(Wing_length)* 1.96), Upper = (Mean_wing_length + SE(Wing_length)*1.96), n = n()) %>% rename(Wing_length = Mean_wing_length)


body_size_plot_data %>%
  ggplot(aes(x = Sex, y = Wing_length, fill = Sex, colour = Sex)) +
  geom_quasirandom(data = body_size_plot_data, width = 0.3, size = 2, alpha =  0.5) +
  scale_colour_manual(values = c("Female" = "#fe9929", "Male" = "#41b6c4")) +
  geom_point(data = body_size_summary, aes(x = Sex, y = Wing_length), size = 3, colour='black') +
  geom_errorbar(data = body_size_summary, aes(x = Sex, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
  labs(x = "Sex", y = "Wing length (mm)") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

Figure 5: Sex affects wing length. The coloured points show the development time for individual flies. The black points show the mean wing length for males and females and its 95% confidence limits.

Female reproductive output

To effectively accommodate zero-inflation, we modelled female offspring production using the glmmTMB package (Brooks et al. 2017). This package allows us to fit hurdle models and zero-inflated models.

Hurdle models treat zero-count and nonzero outcomes as two completely separate categories, while zero-inflated models treat zero-count outcomes as a mixture of structural and sampling zeros.

We analysed the number of offspring produced by females using a hurdle model with negative binomial errors. This approach allowed us to answer two questions: (1) did mtDNA and/or competition affect the incidence of failing to produce any offspring? and (2) for females that produced at least one offspring, was the number of offspring produced affected by mtDNA/competition?

The model:

Maternal_total_offspring ~ Focal_haplotype * Social_haplotype + factor(Duplicate) + (1|Block)

female_hurdle_model <- glmmTMB(Maternal_total_offspring ~ Focal_haplotype * Social_haplotype + factor(Duplicate) + (1|Block), data = female_reproductive_output, family = list(family="truncated_nbinom1",link="log"), ziformula = ~., na.action = na.fail, REML = FALSE)

Model evaluation

Table S4: Evaluation of the female reproductive output model. All possible models were evaluated from the global model that included an interaction between focal haplotype and social haplotype, the standalone fixed effect ‘duplicate’, and the random factor ‘Block’. As there was no clear top model, the final model was calculated via model averaging. The zero-inflated results correspond to question (1), while the conditional results correspond to question (2) above.

# Compare all possible combinations of models (from the global model)

if(file.exists("female_dredge.rds")){ # If already done, just load the results
  female_dredge <- readRDS("female_dredge.rds")
} else {female_dredge <- dredge(female_hurdle_model)                  # If not already done, run all the models and save the results
lapply(c("female_dredge"), save_it)
}

female_table <- subset(female_dredge, delta < 6, recalc.weights = FALSE) %>% as.data.frame()

names(female_table)[names(female_table) == "cond((Int))"] <- "Conditional intercept"
names(female_table)[names(female_table) == "zi((Int))"] <- "Zero-inflated intercept"
names(female_table)[names(female_table) == "disp((Int))"] <- "Dispersion factor intercept"
names(female_table)[names(female_table) == "cond(factor(Duplicate))"] <- "Conditional (Duplicate)"
names(female_table)[names(female_table) == "cond(Focal_haplotype)"] <- "Conditional (Focal haplotype)"
names(female_table)[names(female_table) == "cond(Social_haplotype)"] <- "Conditional (Social haplotype)"
names(female_table)[names(female_table) == "cond(Focal_haplotype:Social_haplotype)"] <- "Conditional (Focal haplotype x Social haplotype)"
names(female_table)[names(female_table) == "zi(factor(Duplicate))"] <- "Zero-inflated (Duplicate)"
names(female_table)[names(female_table) == "zi(Focal_haplotype)"] <- "Zero-inflated (Focal haplotype)"
names(female_table)[names(female_table) == "zi(Social_haplotype)"] <- "Zero-inflated (Social haplotype)"
names(female_table)[names(female_table) == "zi(Focal_haplotype:Social_haplotype)"] <- "Zero-inflated (Focal haplotype x Social haplotype)"
names(female_table)[names(female_table) == "df"] <- "Degrees of freedom"
names(female_table)[names(female_table) == "logLik"] <- "Log likelihood"
names(female_table)[names(female_table) == "AICc"] <- "AICc"
names(female_table)[names(female_table) == "delta"] <- "Delta"
names(female_table)[names(female_table) == "weight"] <- "Weight"

pander(female_table, split.cell = 40, split.table = Inf)

	Conditional intercept	Zero-inflated intercept	Dispersion factor intercept	Conditional (Duplicate)	Conditional (Focal haplotype)	Conditional (Social haplotype)	Conditional (Focal haplotype x Social haplotype)	Zero-inflated (Duplicate)	Zero-inflated (Focal haplotype)	Zero-inflated (Social haplotype)	Zero-inflated (Focal haplotype x Social haplotype)	Degrees of freedom	Log likelihood	AICc	Delta	Weight
83	3.932	-1.398	+	NA	+	NA	NA	+	NA	+	NA	14	-1545	3119	0	0.2825
67	3.932	-1.245	+	NA	+	NA	NA	NA	NA	+	NA	13	-1546	3120	1.221	0.1534
84	3.921	-1.398	+	+	+	NA	NA	+	NA	+	NA	15	-1545	3120	1.842	0.1125
19	3.932	-0.9606	+	NA	+	NA	NA	+	NA	NA	NA	10	-1551	3122	2.961	0.06427
81	3.839	-1.398	+	NA	NA	NA	NA	+	NA	+	NA	10	-1551	3122	3.05	0.06149
68	3.921	-1.245	+	+	+	NA	NA	NA	NA	+	NA	14	-1546	3122	3.053	0.06138
82	3.821	-1.398	+	+	NA	NA	NA	+	NA	+	NA	11	-1550	3123	4.266	0.03348
65	3.839	-1.245	+	NA	NA	NA	NA	NA	NA	+	NA	9	-1552	3123	4.313	0.0327
20	3.921	-0.9606	+	+	+	NA	NA	+	NA	NA	NA	11	-1550	3123	4.762	0.02612
115	3.932	-1.31	+	NA	+	NA	NA	+	+	+	NA	18	-1543	3124	5.306	0.0199
66	3.821	-1.245	+	+	NA	NA	NA	NA	NA	+	NA	10	-1552	3124	5.518	0.0179
3	3.932	-0.783	+	NA	+	NA	NA	NA	NA	NA	NA	9	-1553	3124	5.56	0.01753
99	3.932	-1.156	+	NA	+	NA	NA	NA	+	+	NA	17	-1545	3125	5.932	0.01455

Model averaging

Table 4: Conditional (after hurdle) and zi (zero-hurdle requirement) model coefficients, standard error and 95% confidence limits are shown for the female offspring production averaged model. Bold rows indicate signficant effects.

#summary(model.avg(female_dredge, subset = delta < 6))

Female_CIs <- confint(model.avg(female_dredge, subset = delta < 6)) %>% as.data.frame()

Female_estimate <- coefTable(model.avg(female_dredge, subset = delta < 6)) %>% as.data.frame()

Female_model_avg <- data.frame(Female_estimate, Female_CIs) %>% select(Estimate, Std..Error,  X2.5.., X97.5..)

names(Female_model_avg)[names(Female_model_avg) == "Estimate"] <- "Conditional average estimate"
names(Female_model_avg)[names(Female_model_avg) == "Std..Error"] <- "Standard Error"
names(Female_model_avg)[names(Female_model_avg) == "X2.5.."] <- "2.5% Interval"
names(Female_model_avg)[names(Female_model_avg) == "X97.5.."] <- "97.5% Interval"

pander(Female_model_avg, split.cell = 40, split.table = Inf, emphasize.strong.rows = c(2, 5, 10))

	Conditional average estimate	Standard Error	2.5% Interval	97.5% Interval
cond((Int))	3.914	0.07512	3.766	4.061
cond(Focal_haplotypeBrownsville)	-0.1902	0.07958	-0.3462	-0.03426
cond(Focal_haplotypeDahomey)	-0.08379	0.07628	-0.2333	0.06572
cond(Focal_haplotypeIsrael)	-0.005715	0.08053	-0.1635	0.1521
cond(Focal_haplotypeSweden)	-0.212	0.08357	-0.3758	-0.04823
zi((Int))	-1.291	0.303	-1.885	-0.6972
zi(factor(Duplicate)2)	0.4127	0.221	-0.02053	0.8459
zi(Social_haplotypeBrownsville)	0.5457	0.3595	-0.159	1.25
zi(Social_haplotypeDahomey)	0.1975	0.3541	-0.4966	0.8916
zi(Social_haplotypeIsrael)	1.028	0.3361	0.3692	1.687
zi(Social_haplotypeSweden)	0.396	0.3628	-0.3151	1.107
cond(factor(Duplicate)2)	0.0361	0.05763	-0.07684	0.149
zi(Focal_haplotypeBrownsville)	0.01505	0.3265	-0.6249	0.655
zi(Focal_haplotypeDahomey)	-0.2685	0.334	-0.9232	0.3862
zi(Focal_haplotypeIsrael)	0.2045	0.328	-0.4384	0.8473
zi(Focal_haplotypeSweden)	-0.3775	0.3652	-1.093	0.3383

female_zi_plot_data <- female_reproductive_output %>%
  mutate(Binary_maternal_offspring = ifelse(Maternal_total_offspring > 0, "1", "0"))

female_zi_summary <- female_zi_plot_data %>% 
  dplyr::group_by(Social_haplotype) %>%
  dplyr::summarise(number_producing_offspring = sum(Binary_maternal_offspring == 1), number_zero_offspring = sum(Binary_maternal_offspring == 0)) %>%
  as.data.frame()

female_zi_CIs <- get_CIs_for_binomial_trials(female_zi_summary$number_producing_offspring, female_zi_summary$number_zero_offspring) %>% rename(Binary_maternal_offspring = Proportion)

female_zi_summary <- cbind(female_zi_summary, female_zi_CIs)

female_zi_plot_data %>%
  ggplot(aes(x = Social_haplotype, y = Binary_maternal_offspring, fill = Social_haplotype, colour = Social_haplotype)) +
  geom_point(data = female_zi_summary, aes(x = Social_haplotype, y = Binary_maternal_offspring), size = 3, colour='black') +
  geom_errorbar(data = female_zi_summary, aes(x = Social_haplotype, ymax = upperCI, ymin = lowerCI, width = 0), colour = "black") +
  labs(x = "Social male mtDNA haplotype", y = "Proportion of females producing offspring") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

Figure 6: The proportion of females successfully producing offspring is affected by the mtDNA of a social male competitor during larval development. Black points show the mean for each social haplotype and associated confidence intervals. Data corresponds to the hurdle (binomial) component of the hurdle model.

female_cond_plot_data <- female_reproductive_output %>% 
  mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
        Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
         Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood")) %>%
  filter(Maternal_total_offspring != 0)

female_cond_summary <- female_cond_plot_data %>% 
  dplyr::group_by(Focal_haplotype) %>%
  dplyr::summarise(Mean_offspring = mean(Maternal_total_offspring), Lower = (Mean_offspring - SE(Maternal_total_offspring)* 1.96), Upper = (Mean_offspring + SE(Maternal_total_offspring)*1.96), n = n()) %>% rename(Maternal_total_offspring = Mean_offspring)


female_cond_plot_data %>%
  ggplot(aes(x = Focal_haplotype, y = Maternal_total_offspring, fill = Focal_haplotype, colour = Focal_haplotype)) +
  geom_quasirandom(data = female_cond_plot_data, width = 0.3, size = 2, alpha =  0.5) +
  scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
  geom_point(data = female_cond_summary, aes(x = Focal_haplotype, y = Maternal_total_offspring), size = 3, colour='black') +
  geom_errorbar(data = female_cond_summary, aes(x = Focal_haplotype, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
  labs(x = "Female mtDNA haplotype", y = "Number of offspring produced") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

Figure 7: Number of offspring produced by females that produced at least one offspring, split by mitochondrial haplotype. Data corresponds to the conditional component of the hurdle model. Coloured points show the number of offspring produced by individual females. The black points show the mean reproductive output for females and its 95% confidence limits.

Male adult fitness

We follow the classic approach to sperm competition analysis and consider male fitness as the proportion of offspring sired by an experimental mitoline male while competing against a standard bw male.

Here we are measuring male fitness as 1) the ability of a male to inseminate a female in the presence of another male and 2) the competitive ability of his sperm within females that have been inseminated by another male.

As shown below, the data contains many 0 or 1 values - corresponding to a monopoly of female fertilisation by one of the males. We could assume the data are binomial, and class any non-zero values as ‘1’. Alternatively, we could specify a beta-binomial distribution, which allows us to model the data in its current form, with one exception. The beta-binomial family is used to model data that falls between 0-1, which is perfect for our proportional data. However, this family does not account for values exactly equal to 0 or 1. Therefore, I add one offspring to the count of each vial for each phenotype, thereby removing all vials where one male sired all the offspring in the vial. This allows us to effectively model the data, without substantial changes to the raw data.

density_male_plot <- ggplot(Male_fitness)+
  stat_density_ridges(aes(x=Proportion_focal, y = NA), alpha = 0.7, scale = 12, position = position_nudge(y = -0.5), show.legend = T) +
  xlab("Proportion of offspring sired by experimental male") +
  ylab("Kernel density estimate") +
  theme_bw()+
  scale_x_continuous(limits = c(0, 1)) +
  theme(panel.spacing = unit(0.1, "lines"),
        text = element_text(size=16),
        panel.border= element_blank(),
        axis.line=element_line(), 
        panel.grid.major.x = element_blank(),
        panel.grid.major.y = element_blank(),
        panel.grid.minor.y = element_blank(),
        panel.grid.minor.x = element_blank(),
        axis.text.y=element_blank(),
        axis.ticks.y=element_blank(),
        axis.title.x = element_text(hjust = 0.5, size = 14))
density_male_plot

The Brownsville haplotype renders males sterile alongside the w¹¹¹⁸ nuclear background and sub-fertile alongside all other tested backgrounds. In our experiment, we find that Brownsville males are able to produce offspring but to a very limited capacity. Due to this, our model will not converge with the Brownsville males in the dataset. Therefore, we acknowledge that there is an effect of the Brownsville focal haplotype on male fitness and then remove it from the dataset.

We transform the data to binary and fit the model:

(Focal_male_offspring, bw_offspring) ~ Focal_haplotype * Social_haplotype + Duplicate + (1|Block)

Binary_male_fitness <- Male_fitness %>%
  filter(Focal_haplotype != "Brownsville") %>%
  mutate(Binary_paternal_offspring = ifelse(Proportion_focal > 0, "1", "0"))

Binary_male_model <- lme4::glmer(factor(Binary_paternal_offspring) ~ Focal_haplotype * Social_haplotype + factor(Duplicate) + (1|Block), data = Binary_male_fitness, family = "binomial", control = glmerControl(optimizer = "Nelder_Mead", optCtrl=list(maxfun=100000)), na.action = na.fail)

Model evaluation

Table S4: Evaluation of the male adult fitness model, where data was transformed to a binary format. All possible models were evaluated from the global model that included an interaction between focal haplotype and social haplotype, the standalone fixed effect ‘duplicate’, and the random factors ‘Block’. As there was no clear top model, the final model was calculated via model averaging.

male_binary_dredge <- dredge(Binary_male_model)

Male_binary_table <- subset(male_binary_dredge, delta < 6, recalc.weights = FALSE) %>% as.data.frame()

names(Male_binary_table)[names(Male_binary_table) == "df"] <- "Degrees of freedom"
names(Male_binary_table)[names(Male_binary_table) == "logLik"] <- "Log likelihood"
names(Male_binary_table)[names(Male_binary_table) == "AICc"] <- "AICc"
names(Male_binary_table)[names(Male_binary_table) == "delta"] <- "Delta"
names(Male_binary_table)[names(Male_binary_table) == "weight"] <- "Weight"

pander(Male_binary_table, split.cell = 40, split.table = Inf)

	(Intercept)	factor(Duplicate)	Focal_haplotype	Social_haplotype	Focal_haplotype:Social_haplotype	Degrees of freedom	Log likelihood	AICc	Delta	Weight
1	0.3449	NA	NA	NA	NA	2	-197.4	398.8	0	0.4916
2	0.3033	+	NA	NA	NA	3	-197.3	400.6	1.801	0.1998
5	0.6008	NA	NA	+	NA	6	-194.6	401.5	2.669	0.1294
3	0.3757	NA	+	NA	NA	5	-196.2	402.6	3.829	0.07246
6	0.5422	+	NA	+	NA	7	-194.4	403.2	4.401	0.05445
4	0.3386	+	+	NA	NA	6	-196.1	404.5	5.716	0.02821

Model averaging

Table 5: Model coefficients, standard error and 95% confidence limits are shown for the binary male adult fitness averaged model. Bold rows indicate signficant effects.

#summary(model.avg(male_binary_dredge, subset = delta < 6))

Male_binary_CIs <- confint(model.avg(male_binary_dredge, subset = delta < 6)) %>% as.data.frame()

Male_binary_estimate <- coefTable(model.avg(male_binary_dredge, subset = delta < 6)) %>% as.data.frame()

Male_binary_model_avg <- data.frame(Male_binary_estimate, Male_binary_CIs) %>% select(Estimate, Std..Error,  X2.5.., X97.5..)

names(Male_binary_model_avg)[names(Male_binary_model_avg) == "Estimate"] <- "Conditional average estimate"
names(Male_binary_model_avg)[names(Male_binary_model_avg) == "Std..Error"] <- "Standard Error"
names(Male_binary_model_avg)[names(Male_binary_model_avg) == "X2.5.."] <- "2.5% Interval"
names(Male_binary_model_avg)[names(Male_binary_model_avg) == "X97.5.."] <- "97.5% Interval"

pander(Male_binary_model_avg, split.cell = 40, split.table = Inf)

	Conditional average estimate	Standard Error	2.5% Interval	97.5% Interval
(Intercept)	0.3835	0.2505	-0.1075	0.8744
factor(Duplicate)2	0.1338	0.2648	-0.3852	0.6528
Social_haplotypeBrownsville	-0.7255	0.3805	-1.471	0.02038
Social_haplotypeDahomey	-0.1431	0.4016	-0.9303	0.6441
Social_haplotypeIsrael	-0.2982	0.3942	-1.071	0.4743
Social_haplotypeSweden	0.03149	0.4098	-0.7717	0.8346
Focal_haplotypeDahomey	-0.2619	0.3213	-0.8916	0.3678
Focal_haplotypeIsrael	-0.04169	0.3477	-0.7233	0.6399
Focal_haplotypeSweden	0.2594	0.354	-0.4344	0.9532

male_binary_plot_data <- Male_fitness %>%
  mutate(Binary_paternal_offspring = ifelse(Focal_male_offspring > 0, "1", "0"))

male_binary_summary <- male_binary_plot_data %>% 
  dplyr::group_by(Social_haplotype) %>%
  dplyr::summarise(number_producing_offspring = sum(Binary_paternal_offspring == 1), number_zero_offspring = sum(Binary_paternal_offspring == 0)) %>%
  as.data.frame()

male_binary_CIs <- get_CIs_for_binomial_trials(male_binary_summary$number_producing_offspring, male_binary_summary$number_zero_offspring) %>% rename(Binary_paternal_offspring = Proportion)

male_binary_summary <- cbind(male_binary_summary, male_binary_CIs)

male_binary_plot_data %>%
  ggplot(aes(x = Social_haplotype, y = Binary_paternal_offspring, fill = Social_haplotype, colour = Social_haplotype)) +
  geom_point(data = male_binary_summary, aes(x = Social_haplotype, y = Binary_paternal_offspring), size = 3, colour='black') +
  geom_errorbar(data = male_binary_summary, aes(x = Social_haplotype, ymax = upperCI, ymin = lowerCI, width = 0), colour = "black") +
  labs(x = "Social female mtDNA haplotype", y = "Proportion of males producing offspring") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

Figure 8: The proportion of males successfully producing offspring is not affected by the mtDNA of a social female competitor during larval development. Black points show the mean for each social haplotype and associated confidence intervals.

Beta-binomial model:

We can also use the beta binomial distribution to model our data. However, this distribution can’t handle 0 or 1 values so we add 1 to each offspring count (offspring produced by mitoline and competitor males) in each vial.

(Focal_male_offspring, bw_offspring) ~ Focal_haplotype * Social_haplotype + Duplicate + (1|Block)

Male_fitness_without_Brownsville <- Male_fitness %>%
  filter(Focal_haplotype != "Brownsville") %>%
  mutate(Individual = 1:n()) %>%
  mutate(Focal_male_offspring_beta = Focal_male_offspring + 1) %>%
  mutate(Bw_offspring_beta = Bw_offspring + 1)


response <- cbind(Male_fitness_without_Brownsville$Focal_male_offspring_beta, Male_fitness_without_Brownsville$Bw_offspring_beta)

male_model <- glmmTMB(response ~ Focal_haplotype * Social_haplotype + factor(Duplicate) + (1|Block), data = Male_fitness_without_Brownsville, family = betabinomial(link = "logit"), zi= ~0, na.action = na.fail, REML = FALSE, control = glmmTMBControl(optCtrl = list(iter.max = 1000, eval.max = 1000), profile = TRUE, collect = FALSE))

Table S5: Evaluation of the male adult fitness model. All possible models were evaluated from the global model that included an interaction between focal haplotype and social haplotype, the standalone fixed effect ‘duplicate’, and the random factor ‘Block’. As there was no clear top model, the final model was calculated via model averaging.

if(file.exists("male_dredge.rds")){ # If already done, just load the results
  male_dredge <- readRDS("male_dredge.rds")
} else {male_dredge <- dredge(male_model) # If not already done, run the dredge and save the results
lapply(c("male_dredge"), save_it)
}

Male_table <- subset(male_dredge, delta < 6, recalc.weights = FALSE) %>% as.data.frame()

names(Male_table)[names(Male_table) == "df"] <- "Degrees of freedom"
names(Male_table)[names(Male_table) == "logLik"] <- "Log likelihood"
names(Male_table)[names(Male_table) == "AICc"] <- "AICc"
names(Male_table)[names(Male_table) == "delta"] <- "Delta"
names(Male_table)[names(Male_table) == "weight"] <- "Weight"

pander(Male_table, split.cell = 40, split.table = Inf)

	cond((Int))	disp((Int))	cond(factor(Duplicate))	cond(Focal_haplotype)	cond(Social_haplotype)	cond(Focal_haplotype:Social_haplotype)	Degrees of freedom	Log likelihood	AICc	Delta	Weight
1	-0.08234	+	NA	NA	NA	NA	3	-1062	2129	0	0.5731
2	-0.114	+	+	NA	NA	NA	4	-1061	2131	1.715	0.2431
3	-0.07567	+	NA	+	NA	NA	6	-1060	2133	3.912	0.08105
5	0.04049	+	NA	NA	+	NA	7	-1060	2134	5.176	0.04309
4	-0.1043	+	+	+	NA	NA	7	-1060	2135	5.691	0.03329

Table 6: Model coefficients, standard error and 95% confidence limits are shown for the male adult fitness averaged model. Bold rows indicate signficant effects.

Male_model_average <-model.avg(male_dredge, subset = delta < 6, fit = TRUE)

Male_CIs <- confint(model.avg(male_dredge, subset = delta < 6)) %>% as.data.frame()

Male_estimate <- coefTable(model.avg(male_dredge, subset = delta < 6)) %>% as.data.frame()

Male_model_avg <- data.frame(Male_estimate, Male_CIs) %>% select(Estimate, Std..Error,  X2.5.., X97.5..)

names(Male_model_avg)[names(Male_model_avg) == "Estimate"] <- "Conditional average estimate"
names(Male_model_avg)[names(Male_model_avg) == "Std..Error"] <- "Standard Error"
names(Male_model_avg)[names(Male_model_avg) == "X2.5.."] <- "2.5% Interval"
names(Male_model_avg)[names(Male_model_avg) == "X97.5.."] <- "97.5% Interval"

pander(Male_model_avg, split.cell = 40, split.table = Inf)

	Conditional average estimate	Standard Error	2.5% Interval	97.5% Interval
cond((Int))	-0.08499	0.1373	-0.3541	0.1841
cond(factor(Duplicate)2)	0.1004	0.1728	-0.2381	0.439
cond(Focal_haplotypeDahomey)	-0.1583	0.2104	-0.5708	0.2541
cond(Focal_haplotypeIsrael)	0.0001056	0.226	-0.4427	0.443
cond(Focal_haplotypeSweden)	0.1794	0.225	-0.2616	0.6204
cond(Social_haplotypeBrownsville)	-0.3478	0.2454	-0.8288	0.1333
cond(Social_haplotypeDahomey)	-0.0149	0.2565	-0.5176	0.4878
cond(Social_haplotypeIsrael)	-0.1745	0.2532	-0.6707	0.3218
cond(Social_haplotypeSweden)	-0.01959	0.2582	-0.5257	0.4865

# male_cond_plot_data <- Male_fitness %>% 
  # filter(Focal_male_offspring != 0)

male_cond_summary <- Male_fitness %>% 
  dplyr::group_by(Social_haplotype) %>%
  dplyr::summarise(Social_partner_offspring = sum(Focal_male_offspring), Standard_competitor_offspring = sum(Bw_offspring)) %>%
  as.data.frame()

male_cond_summary <- Male_fitness %>% 
  group_by(Social_haplotype) %>%
  dplyr::summarise(Mean_proportion_focal = sum(Proportion_focal) / length(Proportion_focal), Lower = (Mean_proportion_focal - SE(Proportion_focal)* 1.96), Upper = (Mean_proportion_focal + SE(Proportion_focal)*1.96), n = n()) %>% rename(Proportion_focal = Mean_proportion_focal)

Male_cond_plot <- Male_fitness %>%
  ggplot(aes(x = Social_haplotype, y = Proportion_focal, fill = Social_haplotype, colour = Social_haplotype)) +
  geom_quasirandom(data = Male_fitness, width = 0.3, alpha =  0.5, aes(size = Offspring_counted)) +
  scale_size_continuous(range = c(0.5, 6), labels = NULL, breaks = c(20, 40, 60, 80, 100, 120)) +
  scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
  geom_point(data = male_cond_summary, aes(x = Social_haplotype, y = Proportion_focal), size = 3, colour='black') +
  geom_errorbar(data = male_cond_summary, aes(x = Social_haplotype, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
  labs(x = "Social mtDNA haplotype", y = "Proportion of offspring sired by focal male") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

Male_cond_plot

Figure 9: Male reproductive success relative to a standard bw competitor is affected by the mtDNA of a social female competitor during larval development. Black points show the mean for each social haplotype and associated confidence intervals. Coloured points show individual males; the size of the point represents the number of offspring produced by both competitors. Data corresponds to the conditional component component of the zero-inflated model.

male_plot_data <- Male_fitness %>% 
  mutate(Social_survival = replace(as.character(Social_survival), Social_survival == "L", "Died as larva"),
        Social_survival = replace(as.character(Social_survival), Social_survival == "P", "Died as pupa"),
         Social_survival = replace(as.character(Social_survival), Social_survival == "N", "Survived to adulthood"))

Male_fitness_summary_socialmt <- male_plot_data %>% 
  group_by(Social_haplotype) %>%
  dplyr::summarise(Mean_proportion_focal = sum(Proportion_focal) / length(Proportion_focal), Lower = (Mean_proportion_focal - SE(Proportion_focal)* 1.96), Upper = (Mean_proportion_focal + SE(Proportion_focal)*1.96), n = n()) %>% rename(Proportion_focal = Mean_proportion_focal)

Male_fitness_summary_focalmt <- male_plot_data %>% 
  group_by(Focal_haplotype) %>%
  dplyr::summarise(Mean_proportion_focal = sum(Proportion_focal) / length(Proportion_focal), Lower = (Mean_proportion_focal - SE(Proportion_focal)* 1.96), Upper = (Mean_proportion_focal + SE(Proportion_focal)*1.96), n = n()) %>% rename(Proportion_focal = Mean_proportion_focal)


Male_focal_plot <- male_plot_data %>%
  ggplot(aes(x = Focal_haplotype, y = Proportion_focal, fill = Focal_haplotype, colour = Focal_haplotype)) +
  geom_quasirandom(data = male_plot_data, width = 0.3, alpha =  0.5, aes(size = Offspring_counted)) +
  scale_size_continuous(range = c(0.5, 6), labels = NULL, breaks = c(20, 40, 60, 80, 100, 120)) +
  scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
  geom_point(data = Male_fitness_summary_focalmt, aes(x = Focal_haplotype, y = Proportion_focal), size = 3, colour='black') +
  geom_errorbar(data = Male_fitness_summary_focalmt, aes(x = Focal_haplotype, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
  labs(x = "Focal mtDNA haplotype", y = "Proportion of offspring sired by focal male") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())


Male_social_plot <- male_plot_data %>%
  ggplot(aes(x = Social_haplotype, y = Proportion_focal, fill = Social_haplotype, colour = Social_haplotype)) +
  geom_quasirandom(data = male_plot_data, width = 0.3, alpha =  0.5, aes(size = Offspring_counted)) +
  scale_size_continuous(range = c(0.5, 6), labels = NULL, breaks = c(20, 40, 60, 80, 100, 120)) +
  scale_colour_manual(values = c("Barcelona" = "#a50f15", "Brownsville" = "#fe9929", "Dahomey" = "#41b6c4", "Israel" = "#238443" , "Sweden" = "#4a1486")) +
  geom_point(data = Male_fitness_summary_socialmt, aes(x = Social_haplotype, y = Proportion_focal), size = 3, colour='black') +
  geom_errorbar(data = Male_fitness_summary_socialmt, aes(x = Social_haplotype, ymax = Upper, ymin = Lower, width = 0), colour = "black") +
  labs(x = "Social mtDNA haplotype", y = "Proportion of offspring sired by focal male") +
  theme_minimal() +
  theme(legend.position = "none") +
  theme(panel.grid.major.x = element_blank())

ggarrange(Male_focal_plot, Male_social_plot)


# **Figure 8:** The proportion of offspring produced by focal males competing with standard _bw_ males, split by a) the males mtDNA haplotype and b) the mtDNA haplotype of a social competitor during development. Coloured points represent individual males, with larger points indicating a high number of offspring produced in the vial (sired by either male). Black points show the mean proportion of offspring sired by the focal male, with asssociated 95% confidence intervals. **Means are not adjusted for zero inflation**. 

Raw data and reproducibility

Table of raw data

For completeness, transparency and for purposes of data archiving, we include the raw data in this report.

Table S6: the raw dataset used in the present study.

kable(fitness_data %>% filter(!is.na(Survived)), "html") %>%
  kable_styling() %>%
  scroll_box(width = "100%", height = "800px")

Individual	Block	Duplicate	Pipette_tip	Sex	Focal_haplotype	Social_haplotype	Survived	Social_survival	Dev_time	Day	Hours	Wing_length	Maternal_female_offspring	Maternal_male_offspring	Maternal_total_offspring	Paternal_focal_offspring	Patneral_bw_offspring	Proportion_focal
1	1	1	1	F	Barcelona	Barcelona	1	L	NA	NA	NA	NA	35	24	59	NA	NA	NA
2	1	1	1	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
3	1	1	2	F	Brownsville	Barcelona	1	N	249	10	11	NA	36	45	81	NA	NA	NA
4	1	1	2	M	Barcelona	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	41	0.0000000
5	1	1	3	F	Dahomey	Barcelona	1	N	249	10	11	NA	17	23	40	NA	NA	NA
6	1	1	3	M	Barcelona	Dahomey	1	N	242	10	4	NA	NA	NA	NA	42	0	1.0000000
7	1	1	4	F	Israel	Barcelona	1	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
8	1	1	4	M	Barcelona	Israel	1	N	242	10	4	NA	NA	NA	NA	32	26	0.5517241
9	1	1	5	F	Sweden	Barcelona	1	N	NA	NA	NA	NA	7	15	22	NA	NA	NA
10	1	1	5	M	Barcelona	Sweden	1	N	267	11	5	NA	NA	NA	NA	0	0	0.0000000
11	1	1	6	F	Barcelona	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
12	1	1	6	M	Brownsville	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
15	1	1	8	F	Dahomey	Brownsville	1	N	242	10	4	NA	23	31	54	NA	NA	NA
16	1	1	8	M	Brownsville	Dahomey	1	N	245	10	7	NA	NA	NA	NA	0	63	0.0000000
17	1	1	9	F	Israel	Brownsville	1	N	243	10	5	NA	NA	NA	NA	NA	NA	NA
18	1	1	9	M	Brownsville	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
19	1	1	10	F	Sweden	Brownsville	1	L	266	11	4	NA	26	39	65	NA	NA	NA
20	1	1	10	M	Brownsville	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
21	1	1	11	F	Barcelona	Dahomey	1	N	NA	NA	NA	NA	8	21	29	NA	NA	NA
22	1	1	11	M	Dahomey	Barcelona	1	N	267	11	5	NA	NA	NA	NA	11	26	0.2972973
23	1	1	12	F	Brownsville	Dahomey	1	N	242	10	4	NA	11	22	33	NA	NA	NA
24	1	1	12	M	Dahomey	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	13	0.0000000
25	1	1	13	F	Dahomey	Dahomey	1	N	265	11	3	NA	NA	NA	NA	NA	NA	NA
26	1	1	13	M	Dahomey	Dahomey	1	N	NA	NA	NA	NA	NA	NA	NA	128	0	1.0000000
27	1	1	14	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
28	1	1	14	M	Dahomey	Israel	1	L	248	10	10	NA	NA	NA	NA	163	0	1.0000000
29	1	1	15	F	Sweden	Dahomey	1	N	245	10	7	NA	16	27	43	NA	NA	NA
30	1	1	15	M	Dahomey	Sweden	1	N	248	10	10	NA	NA	NA	NA	105	0	1.0000000
31	1	1	16	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
32	1	1	16	M	Israel	Barcelona	1	L	249	10	11	NA	NA	NA	NA	25	25	0.5000000
38	1	1	19	M	Israel	Israel	1	NA	243	10	5	NA	NA	NA	NA	0	58	0.0000000
41	1	1	21	F	Barcelona	Sweden	1	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
42	1	1	21	M	Sweden	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
43	1	1	22	F	Brownsville	Sweden	1	N	270	11	8	NA	31	22	53	NA	NA	NA
44	1	1	22	M	Sweden	Brownsville	1	N	267	11	5	NA	NA	NA	NA	0	0	0.0000000
45	1	1	23	F	Dahomey	Sweden	1	N	NA	NA	NA	NA	23	32	55	NA	NA	NA
46	1	1	23	M	Sweden	Dahomey	1	N	242	10	4	NA	NA	NA	NA	0	52	0.0000000
47	1	1	24	F	Israel	Sweden	1	N	NA	NA	NA	NA	18	22	40	NA	NA	NA
48	1	1	24	M	Sweden	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	91	14	0.8666667
49	1	1	25	F	Sweden	Sweden	1	N	273	11	11	NA	18	19	37	NA	NA	NA
50	1	1	25	M	Sweden	Sweden	1	N	NA	NA	NA	NA	NA	NA	NA	68	4	0.9444444
51	1	1	26	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
52	1	1	26	M	Barcelona	Barcelona	1	L	245	10	7	NA	NA	NA	NA	138	0	1.0000000
53	1	1	27	F	Brownsville	Barcelona	1	N	269	11	7	NA	9	17	26	NA	NA	NA
54	1	1	27	M	Barcelona	Brownsville	1	N	269	11	7	NA	NA	NA	NA	74	0	1.0000000
55	1	1	28	F	Dahomey	Barcelona	1	N	267	11	5	NA	25	19	44	NA	NA	NA
56	1	1	28	M	Barcelona	Dahomey	1	N	283	11	21	NA	NA	NA	NA	0	25	0.0000000
57	1	1	29	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
58	1	1	29	M	Barcelona	Israel	1	P	288	12	2	NA	NA	NA	NA	0	0	0.0000000
59	1	1	30	F	Sweden	Barcelona	1	N	283	11	21	NA	28	19	47	NA	NA	NA
60	1	1	30	M	Barcelona	Sweden	1	N	283	11	21	NA	NA	NA	NA	70	46	0.6034483
61	1	1	31	F	Barcelona	Brownsville	1	N	269	11	7	NA	0	0	0	NA	NA	NA
62	1	1	31	M	Brownsville	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	0	32	0.0000000
63	1	1	32	F	Brownsville	Brownsville	1	N	NA	NA	NA	NA	27	22	49	NA	NA	NA
64	1	1	32	M	Brownsville	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
65	1	1	33	F	Dahomey	Brownsville	1	P	270	11	8	NA	13	16	29	NA	NA	NA
66	1	1	33	M	Brownsville	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
67	1	1	34	F	Israel	Brownsville	1	N	273	11	11	NA	0	0	0	NA	NA	NA
68	1	1	34	M	Brownsville	Israel	1	N	270	11	8	NA	NA	NA	NA	0	52	0.0000000
69	1	1	35	F	Sweden	Brownsville	1	N	269	11	7	NA	9	10	19	NA	NA	NA
70	1	1	35	M	Brownsville	Sweden	1	N	271	11	9	NA	NA	NA	NA	0	21	0.0000000
71	1	1	36	F	Barcelona	Dahomey	1	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
72	1	1	36	M	Dahomey	Barcelona	1	N	269	11	7	NA	NA	NA	NA	0	0	0.0000000
73	1	1	37	F	Brownsville	Dahomey	1	N	243	10	5	NA	18	29	47	NA	NA	NA
74	1	1	37	M	Dahomey	Brownsville	1	N	248	10	10	NA	NA	NA	NA	0	49	0.0000000
75	1	1	38	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
76	1	1	38	M	Dahomey	Dahomey	1	P	251	10	13	NA	NA	NA	NA	0	0	0.0000000
77	1	1	39	F	Israel	Dahomey	1	N	NA	NA	NA	NA	35	20	55	NA	NA	NA
78	1	1	39	M	Dahomey	Israel	1	N	248	10	10	NA	NA	NA	NA	81	8	0.9101124
79	1	1	40	F	Sweden	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
80	1	1	40	M	Dahomey	Sweden	1	L	274	11	12	NA	NA	NA	NA	1	23	0.0416667
81	1	1	41	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
82	1	1	41	M	Israel	Barcelona	1	P	269	11	7	NA	NA	NA	NA	0	55	0.0000000
85	1	1	43	F	Dahomey	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
86	1	1	43	M	Israel	Dahomey	1	P	267	11	5	NA	NA	NA	NA	200	0	1.0000000
87	1	1	44	F	Israel	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
88	1	1	44	M	Israel	Israel	1	L	248	10	10	NA	NA	NA	NA	0	0	0.0000000
89	1	1	45	F	Sweden	Israel	1	N	288	12	2	NA	0	0	0	NA	NA	NA
90	1	1	45	M	Israel	Sweden	1	N	270	11	8	NA	NA	NA	NA	22	49	0.3098592
91	1	1	46	F	Barcelona	Sweden	1	N	NA	NA	NA	NA	19	34	53	NA	NA	NA
92	1	1	46	M	Sweden	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	75	0	1.0000000
93	1	1	47	F	Brownsville	Sweden	1	N	267	11	5	NA	0	0	0	NA	NA	NA
94	1	1	47	M	Sweden	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	104	2	0.9811321
95	1	1	48	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
96	1	1	48	M	Sweden	Dahomey	1	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
99	1	1	50	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
100	1	1	50	M	Sweden	Sweden	1	L	NA	NA	NA	NA	NA	NA	NA	47	0	1.0000000
101	1	1	51	F	Barcelona	Barcelona	1	N	249	10	11	NA	23	27	50	NA	NA	NA
102	1	1	51	M	Barcelona	Barcelona	1	N	249	10	11	NA	NA	NA	NA	0	0	0.0000000
103	1	1	52	F	Brownsville	Barcelona	1	N	269	11	7	NA	0	0	0	NA	NA	NA
104	1	1	52	M	Barcelona	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	141	15	0.9038462
105	1	1	53	F	Dahomey	Barcelona	1	N	246	10	8	NA	22	21	43	NA	NA	NA
106	1	1	53	M	Barcelona	Dahomey	1	N	NA	NA	NA	NA	NA	NA	NA	3	27	0.1000000
107	1	1	54	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
108	1	1	54	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
109	1	1	55	F	Sweden	Barcelona	1	N	NA	NA	NA	NA	8	8	16	NA	NA	NA
110	1	1	55	M	Barcelona	Sweden	1	N	NA	NA	NA	NA	NA	NA	NA	11	10	0.5238095
111	1	1	56	F	Barcelona	Brownsville	1	L	NA	NA	NA	NA	20	19	39	NA	NA	NA
112	1	1	56	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
113	1	1	57	F	Brownsville	Brownsville	1	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
114	1	1	57	M	Brownsville	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
117	1	1	59	F	Israel	Brownsville	1	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
118	1	1	59	M	Brownsville	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
119	1	1	60	F	Sweden	Brownsville	1	L	NA	NA	NA	NA	51	50	101	NA	NA	NA
120	1	1	60	M	Brownsville	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
121	1	1	61	F	Barcelona	Dahomey	1	N	248	10	10	NA	22	18	40	NA	NA	NA
122	1	1	61	M	Dahomey	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	0	11	0.0000000
123	1	1	62	F	Brownsville	Dahomey	1	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
124	1	1	62	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
125	1	1	63	F	Dahomey	Dahomey	1	N	NA	NA	NA	NA	23	22	45	NA	NA	NA
126	1	1	63	M	Dahomey	Dahomey	1	N	274	11	12	NA	NA	NA	NA	0	0	0.0000000
127	1	1	64	F	Israel	Dahomey	1	N	274	11	12	NA	0	0	0	NA	NA	NA
128	1	1	64	M	Dahomey	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	48	0.0000000
130	1	1	65	M	Dahomey	Sweden	1	NA	NA	NA	NA	NA	NA	NA	NA	0	95	0.0000000
133	1	1	67	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
134	1	1	67	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
135	1	1	68	F	Dahomey	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
136	1	1	68	M	Israel	Dahomey	1	L	NA	NA	NA	NA	NA	NA	NA	94	0	1.0000000
137	1	1	69	F	Israel	Israel	1	P	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
138	1	1	69	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
141	1	1	71	F	Barcelona	Sweden	1	N	287	12	1	NA	0	0	0	NA	NA	NA
142	1	1	71	M	Sweden	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
143	1	1	72	F	Brownsville	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
144	1	1	72	M	Sweden	Brownsville	1	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
147	1	1	74	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
148	1	1	74	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
149	1	1	75	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
150	1	1	75	M	Sweden	Sweden	1	P	NA	NA	NA	NA	NA	NA	NA	93	17	0.8454545
151	1	2	76	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
152	1	2	76	M	Barcelona	Barcelona	1	P	267	11	5	NA	NA	NA	NA	NA	NA	NA
153	1	2	77	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
154	1	2	77	M	Barcelona	Brownsville	1	L	NA	NA	NA	NA	NA	NA	NA	0	117	0.0000000
155	1	2	78	F	Dahomey	Barcelona	1	P	243	10	5	NA	0	0	0	NA	NA	NA
156	1	2	78	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
157	1	2	79	F	Israel	Barcelona	1	N	269	11	7	NA	5	8	13	NA	NA	NA
158	1	2	79	M	Barcelona	Israel	1	N	269	11	7	NA	NA	NA	NA	0	2	0.0000000
159	1	2	80	F	Sweden	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
160	1	2	80	M	Barcelona	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
161	1	2	81	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
162	1	2	81	M	Brownsville	Barcelona	1	P	248	10	10	NA	NA	NA	NA	0	0	0.0000000
163	1	2	82	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
164	1	2	82	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
165	1	2	83	F	Dahomey	Brownsville	1	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
166	1	2	83	M	Brownsville	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
167	1	2	84	F	Israel	Brownsville	1	N	248	10	10	NA	33	46	79	NA	NA	NA
168	1	2	84	M	Brownsville	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
169	1	2	85	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
170	1	2	85	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
171	1	2	86	F	Barcelona	Dahomey	1	N	248	10	10	NA	28	35	63	NA	NA	NA
172	1	2	86	M	Dahomey	Barcelona	1	N	248	10	10	NA	NA	NA	NA	0	0	0.0000000
173	1	2	87	F	Brownsville	Dahomey	1	N	NA	NA	NA	NA	18	19	37	NA	NA	NA
174	1	2	87	M	Dahomey	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	43	0.0000000
175	1	2	88	F	Dahomey	Dahomey	1	L	NA	NA	NA	NA	21	21	42	NA	NA	NA
176	1	2	88	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
177	1	2	89	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
178	1	2	89	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
179	1	2	90	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
180	1	2	90	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
181	1	2	91	F	Barcelona	Israel	1	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
182	1	2	91	M	Israel	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	0	28	0.0000000
183	1	2	92	F	Brownsville	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
184	1	2	92	M	Israel	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
185	1	2	93	F	Dahomey	Israel	1	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
186	1	2	93	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
187	1	2	94	F	Israel	Israel	1	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
188	1	2	94	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
189	1	2	95	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
190	1	2	95	M	Israel	Sweden	1	L	250	10	12	NA	NA	NA	NA	64	0	1.0000000
191	1	2	96	F	Barcelona	Sweden	1	L	250	10	12	NA	25	30	55	NA	NA	NA
192	1	2	96	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
193	1	2	97	F	Brownsville	Sweden	1	N	NA	NA	NA	NA	30	33	63	NA	NA	NA
194	1	2	97	M	Sweden	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	97	2	0.9797980
195	1	2	98	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
196	1	2	98	M	Sweden	Dahomey	1	P	NA	NA	NA	NA	NA	NA	NA	116	2	0.9830508
197	1	2	99	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
198	1	2	99	M	Sweden	Israel	1	P	269	11	7	NA	NA	NA	NA	79	17	0.8229167
199	1	2	100	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
200	1	2	100	M	Sweden	Sweden	1	L	248	10	10	NA	NA	NA	NA	96	0	1.0000000
201	1	2	101	F	Barcelona	Barcelona	1	P	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
202	1	2	101	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
203	1	2	102	F	Brownsville	Barcelona	1	N	243	10	5	NA	15	18	33	NA	NA	NA
204	1	2	102	M	Barcelona	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	19	51	0.2714286
205	1	2	103	F	Dahomey	Barcelona	1	N	269	11	7	NA	4	6	10	NA	NA	NA
206	1	2	103	M	Barcelona	Dahomey	1	N	NA	NA	NA	NA	NA	NA	NA	57	8	0.8769231
207	1	2	104	F	Israel	Barcelona	1	N	269	11	7	NA	0	0	0	NA	NA	NA
208	1	2	104	M	Barcelona	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	101	0.0000000
209	1	2	105	F	Sweden	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
210	1	2	105	M	Barcelona	Sweden	1	N	NA	NA	NA	NA	NA	NA	NA	79	0	1.0000000
213	1	2	107	F	Brownsville	Brownsville	1	N	NA	NA	NA	NA	17	22	39	NA	NA	NA
214	1	2	107	M	Brownsville	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
215	1	2	108	F	Dahomey	Brownsville	1	N	NA	NA	NA	NA	28	37	65	NA	NA	NA
216	1	2	108	M	Brownsville	Dahomey	1	N	NA	NA	NA	NA	NA	NA	NA	0	34	0.0000000
217	1	2	109	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
218	1	2	109	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
219	1	2	110	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
220	1	2	110	M	Brownsville	Sweden	1	L	274	11	12	NA	NA	NA	NA	0	20	0.0000000
221	1	2	111	F	Barcelona	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
222	1	2	111	M	Dahomey	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
223	1	2	112	F	Brownsville	Dahomey	1	N	267	11	5	NA	0	0	0	NA	NA	NA
224	1	2	112	M	Dahomey	Brownsville	1	N	267	11	5	NA	NA	NA	NA	66	0	1.0000000
227	1	2	114	F	Israel	Dahomey	1	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
228	1	2	114	M	Dahomey	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	8	0.0000000
229	1	2	115	F	Sweden	Dahomey	1	N	267	11	5	NA	0	0	0	NA	NA	NA
230	1	2	115	M	Dahomey	Sweden	1	N	269	11	7	NA	NA	NA	NA	0	0	0.0000000
231	1	2	116	F	Barcelona	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
232	1	2	116	M	Israel	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
233	1	2	117	F	Brownsville	Israel	1	N	248	10	10	NA	0	0	0	NA	NA	NA
234	1	2	117	M	Israel	Brownsville	1	N	267	11	5	NA	NA	NA	NA	47	0	1.0000000
235	1	2	118	F	Dahomey	Israel	1	N	270	11	8	NA	30	31	61	NA	NA	NA
236	1	2	118	M	Israel	Dahomey	1	N	274	11	12	NA	NA	NA	NA	11	0	1.0000000
237	1	2	119	F	Israel	Israel	1	N	248	10	10	NA	23	47	70	NA	NA	NA
238	1	2	119	M	Israel	Israel	1	N	248	10	10	NA	NA	NA	NA	19	0	1.0000000
239	1	2	120	F	Sweden	Israel	1	P	248	10	10	NA	37	46	83	NA	NA	NA
240	1	2	120	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
241	1	2	121	F	Barcelona	Sweden	1	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
242	1	2	121	M	Sweden	Barcelona	1	N	269	11	7	NA	NA	NA	NA	21	19	0.5250000
243	1	2	122	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
244	1	2	122	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
247	1	2	124	F	Israel	Sweden	1	N	250	10	12	NA	26	17	43	NA	NA	NA
248	1	2	124	M	Sweden	Israel	1	N	267	11	5	NA	NA	NA	NA	0	0	0.0000000
249	1	2	125	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
250	1	2	125	M	Sweden	Sweden	1	P	NA	NA	NA	NA	NA	NA	NA	0	1	0.0000000
251	1	2	126	F	Barcelona	Barcelona	1	N	274	11	12	NA	16	20	36	NA	NA	NA
252	1	2	126	M	Barcelona	Barcelona	1	N	288	12	2	NA	NA	NA	NA	0	74	0.0000000
253	1	2	127	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
254	1	2	127	M	Barcelona	Brownsville	1	L	269	11	7	NA	NA	NA	NA	29	0	1.0000000
255	1	2	128	F	Dahomey	Barcelona	1	L	247	10	9	NA	40	43	83	NA	NA	NA
256	1	2	128	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
257	1	2	129	F	Israel	Barcelona	1	L	NA	NA	NA	NA	35	33	68	NA	NA	NA
258	1	2	129	M	Barcelona	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
259	1	2	130	F	Sweden	Barcelona	1	P	NA	NA	NA	NA	50	27	77	NA	NA	NA
260	1	2	130	M	Barcelona	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
261	1	2	131	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
262	1	2	131	M	Brownsville	Barcelona	1	P	267	11	5	NA	NA	NA	NA	0	0	0.0000000
263	1	2	132	F	Brownsville	Brownsville	1	L	NA	NA	NA	NA	38	46	84	NA	NA	NA
264	1	2	132	M	Brownsville	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
265	1	2	133	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
266	1	2	133	M	Brownsville	Dahomey	1	P	269	11	7	NA	NA	NA	NA	NA	NA	NA
267	1	2	134	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
268	1	2	134	M	Brownsville	Israel	1	P	NA	NA	NA	NA	NA	NA	NA	0	33	0.0000000
269	1	2	135	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
270	1	2	135	M	Brownsville	Sweden	1	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
271	1	2	136	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
272	1	2	136	M	Dahomey	Barcelona	1	L	267	11	5	NA	NA	NA	NA	89	0	1.0000000
273	1	2	137	F	Brownsville	Dahomey	1	L	243	10	5	NA	NA	NA	NA	NA	NA	NA
274	1	2	137	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
275	1	2	138	F	Dahomey	Dahomey	1	N	NA	NA	NA	NA	14	13	27	NA	NA	NA
276	1	2	138	M	Dahomey	Dahomey	1	N	270	11	8	NA	NA	NA	NA	124	0	1.0000000
277	1	2	139	F	Israel	Dahomey	1	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
278	1	2	139	M	Dahomey	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
281	1	2	141	F	Barcelona	Israel	1	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
282	1	2	141	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
283	1	2	142	F	Brownsville	Israel	1	L	250	10	12	NA	0	0	0	NA	NA	NA
284	1	2	142	M	Israel	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
285	1	2	143	F	Dahomey	Israel	1	P	293	12	7	NA	0	0	0	NA	NA	NA
286	1	2	143	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
287	1	2	144	F	Israel	Israel	1	L	250	10	12	NA	0	0	0	NA	NA	NA
288	1	2	144	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
291	1	2	146	F	Barcelona	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
292	1	2	146	M	Sweden	Barcelona	1	L	269	11	7	NA	NA	NA	NA	18	0	1.0000000
293	1	2	147	F	Brownsville	Sweden	1	N	267	11	5	NA	24	23	47	NA	NA	NA
294	1	2	147	M	Sweden	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	64	9	0.8767123
295	1	2	148	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
296	1	2	148	M	Sweden	Dahomey	1	L	267	11	5	NA	NA	NA	NA	69	11	0.8625000
297	1	2	149	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
298	1	2	149	M	Sweden	Israel	1	P	NA	NA	NA	NA	NA	NA	NA	0	45	0.0000000
299	1	2	150	F	Sweden	Sweden	1	P	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
300	1	2	150	M	Sweden	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
301	2	1	151	F	Barcelona	Barcelona	1	N	287	12	1	NA	0	0	0	NA	NA	NA
302	2	1	151	M	Barcelona	Barcelona	1	N	289	12	3	NA	NA	NA	NA	110	7	0.9401709
303	2	1	152	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
304	2	1	152	M	Barcelona	Brownsville	1	L	294	12	8	NA	NA	NA	NA	94	0	1.0000000
305	2	1	153	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
306	2	1	153	M	Barcelona	Dahomey	1	L	287	12	1	NA	NA	NA	NA	14	0	1.0000000
307	2	1	154	F	Israel	Barcelona	1	P	272	11	10	NA	NA	NA	NA	NA	NA	NA
308	2	1	154	M	Barcelona	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
309	2	1	155	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
310	2	1	155	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
311	2	1	156	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
312	2	1	156	M	Brownsville	Barcelona	1	P	290	12	4	NA	NA	NA	NA	0	88	0.0000000
313	2	1	157	F	Brownsville	Brownsville	1	N	269	11	7	NA	36	37	73	NA	NA	NA
314	2	1	157	M	Brownsville	Brownsville	1	N	268	11	6	NA	NA	NA	NA	0	21	0.0000000
315	2	1	158	F	Dahomey	Brownsville	1	N	288	12	2	NA	19	32	51	NA	NA	NA
316	2	1	158	M	Brownsville	Dahomey	1	N	NA	NA	NA	NA	NA	NA	NA	0	88	0.0000000
317	2	1	159	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
318	2	1	159	M	Brownsville	Israel	1	L	286	12	0	NA	NA	NA	NA	18	75	0.1935484
319	2	1	160	F	Sweden	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
320	2	1	160	M	Brownsville	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
321	2	1	161	F	Barcelona	Dahomey	1	N	296	12	10	NA	0	0	0	NA	NA	NA
322	2	1	161	M	Dahomey	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	0	72	0.0000000
323	2	1	162	F	Brownsville	Dahomey	1	N	298	12	12	NA	19	16	35	NA	NA	NA
324	2	1	162	M	Dahomey	Brownsville	1	N	295	12	9	NA	NA	NA	NA	46	23	0.6666667
325	2	1	163	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
326	2	1	163	M	Dahomey	Dahomey	1	P	286	12	0	NA	NA	NA	NA	0	26	0.0000000
327	2	1	164	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
328	2	1	164	M	Dahomey	Israel	1	L	266	11	4	NA	NA	NA	NA	0	29	0.0000000
329	2	1	165	F	Sweden	Dahomey	1	N	269	11	7	NA	39	24	63	NA	NA	NA
330	2	1	165	M	Dahomey	Sweden	1	N	275	11	13	NA	NA	NA	NA	33	16	0.6734694
331	2	1	166	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
332	2	1	166	M	Israel	Barcelona	1	P	267	11	5	NA	NA	NA	NA	0	6	0.0000000
333	2	1	167	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
334	2	1	167	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
335	2	1	168	F	Dahomey	Israel	1	L	287	12	1	NA	39	28	67	NA	NA	NA
336	2	1	168	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
337	2	1	169	F	Israel	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
338	2	1	169	M	Israel	Israel	1	L	275	11	13	NA	NA	NA	NA	34	10	0.7727273
339	2	1	170	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
340	2	1	170	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
341	2	1	171	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
342	2	1	171	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
343	2	1	172	F	Brownsville	Sweden	1	L	264	11	2	NA	26	32	58	NA	NA	NA
344	2	1	172	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
345	2	1	173	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
346	2	1	173	M	Sweden	Dahomey	1	P	NA	NA	NA	NA	NA	NA	NA	45	1	0.9782609
347	2	1	174	F	Israel	Sweden	1	L	289	12	3	NA	47	41	88	NA	NA	NA
348	2	1	174	M	Sweden	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
349	2	1	175	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
350	2	1	175	M	Sweden	Sweden	1	P	269	11	7	NA	NA	NA	NA	12	0	1.0000000
351	2	1	176	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
352	2	1	176	M	Barcelona	Barcelona	1	P	286	12	0	NA	NA	NA	NA	23	37	0.3833333
353	2	1	177	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
354	2	1	177	M	Barcelona	Brownsville	1	P	268	11	6	NA	NA	NA	NA	107	13	0.8916667
355	2	1	178	F	Dahomey	Barcelona	1	N	264	11	2	NA	28	20	48	NA	NA	NA
356	2	1	178	M	Barcelona	Dahomey	1	N	271	11	9	NA	NA	NA	NA	48	0	1.0000000
357	2	1	179	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
358	2	1	179	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
359	2	1	180	F	Sweden	Barcelona	1	L	248	10	10	NA	36	37	73	NA	NA	NA
360	2	1	180	M	Barcelona	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
361	2	1	181	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
362	2	1	181	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
363	2	1	182	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
364	2	1	182	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
365	2	1	183	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
366	2	1	183	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
367	2	1	184	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
368	2	1	184	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
369	2	1	185	F	Sweden	Brownsville	1	N	268	11	6	NA	2	6	8	NA	NA	NA
370	2	1	185	M	Brownsville	Sweden	1	N	250	10	12	NA	NA	NA	NA	0	69	0.0000000
371	2	1	186	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
372	2	1	186	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
373	2	1	187	F	Brownsville	Dahomey	1	N	271	11	9	NA	26	37	63	NA	NA	NA
374	2	1	187	M	Dahomey	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
375	2	1	188	F	Dahomey	Dahomey	1	P	245	10	7	NA	9	10	19	NA	NA	NA
376	2	1	188	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
377	2	1	189	F	Israel	Dahomey	1	N	NA	NA	NA	NA	17	22	39	NA	NA	NA
378	2	1	189	M	Dahomey	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
379	2	1	190	F	Sweden	Dahomey	1	N	286	12	0	NA	24	26	50	NA	NA	NA
380	2	1	190	M	Dahomey	Sweden	1	N	270	11	8	NA	NA	NA	NA	64	28	0.6956522
381	2	1	191	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
382	2	1	191	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
383	2	1	192	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
384	2	1	192	M	Israel	Brownsville	1	P	273	11	11	NA	NA	NA	NA	64	0	1.0000000
385	2	1	193	F	Dahomey	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
386	2	1	193	M	Israel	Dahomey	1	N	286	12	0	NA	NA	NA	NA	0	49	0.0000000
387	2	1	194	F	Israel	Israel	1	N	269	11	7	NA	0	0	0	NA	NA	NA
388	2	1	194	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
389	2	1	195	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
390	2	1	195	M	Israel	Sweden	1	P	264	11	2	NA	NA	NA	NA	0	0	0.0000000
391	2	1	196	F	Barcelona	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
392	2	1	196	M	Sweden	Barcelona	1	N	266	11	4	NA	NA	NA	NA	23	5	0.8214286
393	2	1	197	F	Brownsville	Sweden	1	N	271	11	9	NA	0	0	0	NA	NA	NA
394	2	1	197	M	Sweden	Brownsville	1	L	264	11	2	NA	NA	NA	NA	19	0	1.0000000
395	2	1	198	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
396	2	1	198	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
397	2	1	199	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
398	2	1	199	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
399	2	1	200	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
400	2	1	200	M	Sweden	Sweden	1	P	266	11	4	NA	NA	NA	NA	0	0	0.0000000
401	2	1	201	F	Barcelona	Barcelona	1	N	268	11	6	NA	0	0	0	NA	NA	NA
402	2	1	201	M	Barcelona	Barcelona	1	N	266	11	4	NA	NA	NA	NA	59	66	0.4720000
403	2	1	202	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
404	2	1	202	M	Barcelona	Brownsville	1	L	272	11	10	NA	NA	NA	NA	17	0	1.0000000
405	2	1	203	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
406	2	1	203	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
407	2	1	204	F	Israel	Barcelona	1	N	NA	NA	NA	NA	29	17	46	NA	NA	NA
408	2	1	204	M	Barcelona	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	96	0	1.0000000
409	2	1	205	F	Sweden	Barcelona	1	N	287	12	1	NA	18	25	43	NA	NA	NA
410	2	1	205	M	Barcelona	Sweden	1	N	275	11	13	NA	NA	NA	NA	0	50	0.0000000
411	2	1	206	F	Barcelona	Brownsville	1	L	269	11	7	NA	26	26	52	NA	NA	NA
412	2	1	206	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
413	2	1	207	F	Brownsville	Brownsville	1	N	NA	NA	NA	NA	26	38	64	NA	NA	NA
414	2	1	207	M	Brownsville	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	100	0.0000000
415	2	1	208	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
416	2	1	208	M	Brownsville	Dahomey	1	L	270	11	8	NA	NA	NA	NA	0	49	0.0000000
417	2	1	209	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
418	2	1	209	M	Brownsville	Israel	1	L	263	10	1	NA	NA	NA	NA	0	0	0.0000000
419	2	1	210	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
420	2	1	210	M	Brownsville	Sweden	1	L	264	11	2	NA	NA	NA	NA	0	90	0.0000000
421	2	1	211	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
422	2	1	211	M	Dahomey	Barcelona	1	L	283	11	21	NA	NA	NA	NA	57	7	0.8906250
423	2	1	212	F	Brownsville	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
424	2	1	212	M	Dahomey	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
425	2	1	213	F	Dahomey	Dahomey	1	N	266	11	4	NA	26	30	56	NA	NA	NA
426	2	1	213	M	Dahomey	Dahomey	1	N	266	11	4	NA	NA	NA	NA	23	2	0.9200000
427	2	1	214	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
428	2	1	214	M	Dahomey	Israel	1	L	249	10	11	NA	NA	NA	NA	13	68	0.1604938
429	2	1	215	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
430	2	1	215	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
431	2	1	216	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
432	2	1	216	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
433	2	1	217	F	Brownsville	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
434	2	1	217	M	Israel	Brownsville	1	L	291	12	5	NA	NA	NA	NA	0	55	0.0000000
435	2	1	218	F	Dahomey	Israel	1	L	NA	NA	NA	NA	26	13	39	NA	NA	NA
436	2	1	218	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
439	2	1	220	F	Sweden	Israel	1	L	297	12	11	NA	17	22	39	NA	NA	NA
440	2	1	220	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
441	2	1	221	F	Barcelona	Sweden	1	N	269	11	7	NA	31	19	50	NA	NA	NA
442	2	1	221	M	Sweden	Barcelona	1	N	294	12	8	NA	NA	NA	NA	0	27	0.0000000
443	2	1	222	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
444	2	1	222	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
445	2	1	223	F	Dahomey	Sweden	1	N	262	10	0	NA	35	30	65	NA	NA	NA
446	2	1	223	M	Sweden	Dahomey	1	N	266	11	4	NA	NA	NA	NA	0	34	0.0000000
447	2	1	224	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
448	2	1	224	M	Sweden	Israel	1	L	265	11	3	NA	NA	NA	NA	79	7	0.9186047
449	2	1	225	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
450	2	1	225	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
451	2	1	226	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
452	2	1	226	M	Barcelona	Barcelona	1	P	270	11	8	NA	NA	NA	NA	0	0	0.0000000
453	2	1	227	F	Brownsville	Barcelona	1	L	266	11	4	NA	45	56	101	NA	NA	NA
454	2	1	227	M	Barcelona	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
455	2	1	228	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
456	2	1	228	M	Barcelona	Dahomey	1	P	277	11	15	NA	NA	NA	NA	59	0	1.0000000
457	2	1	229	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
458	2	1	229	M	Barcelona	Israel	1	P	271	11	9	NA	NA	NA	NA	74	0	1.0000000
461	2	1	231	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
462	2	1	231	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
463	2	1	232	F	Brownsville	Brownsville	1	N	265	11	3	NA	0	0	0	NA	NA	NA
464	2	1	232	M	Brownsville	Brownsville	1	N	265	11	3	NA	NA	NA	NA	0	37	0.0000000
465	2	1	233	F	Dahomey	Brownsville	1	N	286	12	0	NA	17	31	48	NA	NA	NA
466	2	1	233	M	Brownsville	Dahomey	1	N	264	11	2	NA	NA	NA	NA	0	66	0.0000000
467	2	1	234	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
468	2	1	234	M	Brownsville	Israel	1	P	276	11	14	NA	NA	NA	NA	0	0	0.0000000
469	2	1	235	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
470	2	1	235	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
471	2	1	236	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
472	2	1	236	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
473	2	1	237	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
474	2	1	237	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
475	2	1	238	F	Dahomey	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
476	2	1	238	M	Dahomey	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
479	2	1	240	F	Sweden	Dahomey	1	L	272	11	10	NA	34	40	74	NA	NA	NA
480	2	1	240	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
481	2	1	241	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
482	2	1	241	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
483	2	1	242	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
484	2	1	242	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
491	2	1	246	F	Barcelona	Sweden	1	P	287	12	1	NA	22	25	47	NA	NA	NA
492	2	1	246	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
493	2	1	247	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
494	2	1	247	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
495	2	1	248	F	Dahomey	Sweden	1	L	270	11	8	NA	38	33	71	NA	NA	NA
496	2	1	248	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
497	2	1	249	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
498	2	1	249	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
499	2	1	250	F	Sweden	Sweden	1	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
500	2	1	250	M	Sweden	Sweden	1	N	294	12	8	NA	NA	NA	NA	0	0	0.0000000
501	2	2	251	F	Barcelona	Barcelona	1	N	246	10	8	NA	25	20	45	NA	NA	NA
502	2	2	251	M	Barcelona	Barcelona	1	N	271	11	9	NA	NA	NA	NA	0	64	0.0000000
503	2	2	252	F	Brownsville	Barcelona	1	N	271	11	9	NA	0	0	0	NA	NA	NA
504	2	2	252	M	Barcelona	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
507	2	2	254	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
508	2	2	254	M	Barcelona	Israel	1	P	262	10	0	NA	NA	NA	NA	0	80	0.0000000
511	2	2	256	F	Barcelona	Brownsville	1	N	NA	NA	NA	NA	32	25	57	NA	NA	NA
512	2	2	256	M	Brownsville	Barcelona	1	N	270	11	8	NA	NA	NA	NA	0	62	0.0000000
513	2	2	257	F	Brownsville	Brownsville	1	N	261	10	23	NA	31	33	64	NA	NA	NA
514	2	2	257	M	Brownsville	Brownsville	1	N	294	12	8	NA	NA	NA	NA	0	0	0.0000000
515	2	2	258	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
516	2	2	258	M	Brownsville	Dahomey	1	L	264	11	2	NA	NA	NA	NA	0	18	0.0000000
517	2	2	259	F	Israel	Brownsville	1	N	249	10	11	NA	0	0	0	NA	NA	NA
518	2	2	259	M	Brownsville	Israel	1	N	271	11	9	NA	NA	NA	NA	67	16	0.8072289
519	2	2	260	F	Sweden	Brownsville	1	N	306	12	20	NA	0	0	0	NA	NA	NA
520	2	2	260	M	Brownsville	Sweden	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
521	2	2	261	F	Barcelona	Dahomey	1	N	246	10	8	NA	35	39	74	NA	NA	NA
522	2	2	261	M	Dahomey	Barcelona	1	N	268	11	6	NA	NA	NA	NA	32	0	1.0000000
523	2	2	262	F	Brownsville	Dahomey	1	N	268	11	6	NA	27	31	58	NA	NA	NA
524	2	2	262	M	Dahomey	Brownsville	1	N	263	10	1	NA	NA	NA	NA	58	29	0.6666667
525	2	2	263	F	Dahomey	Dahomey	1	L	246	10	8	NA	0	0	0	NA	NA	NA
526	2	2	263	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
527	2	2	264	F	Israel	Dahomey	1	N	294	12	8	NA	0	0	0	NA	NA	NA
528	2	2	264	M	Dahomey	Israel	1	N	302	12	16	NA	NA	NA	NA	12	82	0.1276596
529	2	2	265	F	Sweden	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
530	2	2	265	M	Dahomey	Sweden	1	L	249	10	11	NA	NA	NA	NA	81	0	1.0000000
531	2	2	266	F	Barcelona	Israel	1	N	249	10	11	NA	57	72	129	NA	NA	NA
532	2	2	266	M	Israel	Barcelona	1	N	267	11	5	NA	NA	NA	NA	26	63	0.2921348
533	2	2	267	F	Brownsville	Israel	1	P	298	12	12	NA	0	0	0	NA	NA	NA
534	2	2	267	M	Israel	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
535	2	2	268	F	Dahomey	Israel	1	L	250	10	12	NA	27	33	60	NA	NA	NA
536	2	2	268	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
537	2	2	269	F	Israel	Israel	1	N	244	10	6	NA	33	40	73	NA	NA	NA
538	2	2	269	M	Israel	Israel	1	N	312	13	2	NA	NA	NA	NA	57	34	0.6263736
539	2	2	270	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
540	2	2	270	M	Israel	Sweden	1	P	248	10	10	NA	NA	NA	NA	54	26	0.6750000
541	2	2	271	F	Barcelona	Sweden	1	P	267	11	5	NA	18	20	38	NA	NA	NA
542	2	2	271	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
543	2	2	272	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
544	2	2	272	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
545	2	2	273	F	Dahomey	Sweden	1	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
546	2	2	273	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
547	2	2	274	F	Israel	Sweden	1	N	NA	NA	NA	NA	30	24	54	NA	NA	NA
548	2	2	274	M	Sweden	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	46	0.0000000
549	2	2	275	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
550	2	2	275	M	Sweden	Sweden	1	L	267	11	5	NA	NA	NA	NA	0	0	0.0000000
551	2	2	276	F	Barcelona	Barcelona	1	L	275	11	13	NA	16	19	35	NA	NA	NA
552	2	2	276	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
553	2	2	277	F	Brownsville	Barcelona	1	N	294	12	8	NA	11	13	24	NA	NA	NA
554	2	2	277	M	Barcelona	Brownsville	1	N	267	11	5	NA	NA	NA	NA	0	29	0.0000000
555	2	2	278	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
556	2	2	278	M	Barcelona	Dahomey	1	L	265	11	3	NA	NA	NA	NA	0	0	0.0000000
557	2	2	279	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
558	2	2	279	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
559	2	2	280	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
560	2	2	280	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
561	2	2	281	F	Barcelona	Brownsville	1	N	NA	NA	NA	NA	29	28	57	NA	NA	NA
562	2	2	281	M	Brownsville	Barcelona	1	N	270	11	8	NA	NA	NA	NA	0	0	0.0000000
563	2	2	282	F	Brownsville	Brownsville	1	N	246	10	8	NA	0	0	0	NA	NA	NA
564	2	2	282	M	Brownsville	Brownsville	1	N	266	11	4	NA	NA	NA	NA	0	53	0.0000000
567	2	2	284	F	Israel	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
568	2	2	284	M	Brownsville	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
569	2	2	285	F	Sweden	Brownsville	1	N	245	10	7	NA	0	0	0	NA	NA	NA
570	2	2	285	M	Brownsville	Sweden	1	N	288	12	2	NA	NA	NA	NA	0	58	0.0000000
571	2	2	286	F	Barcelona	Dahomey	1	N	264	11	2	NA	21	23	44	NA	NA	NA
572	2	2	286	M	Dahomey	Barcelona	1	N	294	12	8	NA	NA	NA	NA	0	0	0.0000000
581	2	2	291	F	Barcelona	Israel	1	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
582	2	2	291	M	Israel	Barcelona	1	N	NA	NA	NA	NA	NA	NA	NA	51	41	0.5543478
583	2	2	292	F	Brownsville	Israel	1	N	NA	NA	NA	NA	7	4	11	NA	NA	NA
584	2	2	292	M	Israel	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	45	1	0.9782609
591	2	2	296	F	Barcelona	Sweden	1	L	244	10	6	NA	55	45	100	NA	NA	NA
592	2	2	296	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
601	3	1	301	F	Barcelona	Barcelona	1	N	260	10	22	1.102	24	34	58	NA	NA	NA
602	3	1	301	M	Barcelona	Barcelona	1	N	258	10	20	1.009	NA	NA	NA	50	0	1.0000000
603	3	1	302	F	Brownsville	Barcelona	1	N	259	10	21	0.988	0	0	0	NA	NA	NA
604	3	1	302	M	Barcelona	Brownsville	1	N	268	11	6	NA	NA	NA	NA	136	13	0.9127517
605	3	1	303	F	Dahomey	Barcelona	1	N	268	11	6	NA	0	0	0	NA	NA	NA
606	3	1	303	M	Barcelona	Dahomey	1	N	269	11	7	0.940	NA	NA	NA	0	26	0.0000000
607	3	1	304	F	Israel	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
608	3	1	304	M	Barcelona	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
609	3	1	305	F	Sweden	Barcelona	1	N	267	11	5	0.981	17	15	32	NA	NA	NA
610	3	1	305	M	Barcelona	Sweden	1	N	260	10	22	0.820	NA	NA	NA	96	0	1.0000000
611	3	1	306	F	Barcelona	Brownsville	1	N	249	10	11	1.202	40	41	81	NA	NA	NA
612	3	1	306	M	Brownsville	Barcelona	1	N	250	10	12	NA	NA	NA	NA	0	71	0.0000000
615	3	1	308	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
616	3	1	308	M	Brownsville	Dahomey	1	P	268	11	6	NA	NA	NA	NA	0	0	0.0000000
617	3	1	309	F	Israel	Brownsville	1	N	283	11	21	0.969	6	6	12	NA	NA	NA
618	3	1	309	M	Brownsville	Israel	1	N	252	10	14	NA	NA	NA	NA	0	25	0.0000000
619	3	1	310	F	Sweden	Brownsville	1	N	261	10	23	NA	0	0	0	NA	NA	NA
620	3	1	310	M	Brownsville	Sweden	1	N	261	10	23	0.936	NA	NA	NA	0	73	0.0000000
621	3	1	311	F	Barcelona	Dahomey	1	N	267	11	5	0.811	9	11	20	NA	NA	NA
622	3	1	311	M	Dahomey	Barcelona	1	N	264	11	2	NA	NA	NA	NA	6	69	0.0800000
623	3	1	312	F	Brownsville	Dahomey	1	N	266	11	4	NA	19	17	36	NA	NA	NA
624	3	1	312	M	Dahomey	Brownsville	1	N	266	11	4	0.840	NA	NA	NA	45	1	0.9782609
625	3	1	313	F	Dahomey	Dahomey	1	N	246	10	8	1.264	40	31	71	NA	NA	NA
626	3	1	313	M	Dahomey	Dahomey	1	N	268	11	6	0.957	NA	NA	NA	0	120	0.0000000
627	3	1	314	F	Israel	Dahomey	1	N	265	11	3	NA	13	19	32	NA	NA	NA
628	3	1	314	M	Dahomey	Israel	1	N	273	11	11	NA	NA	NA	NA	42	21	0.6666667
629	3	1	315	F	Sweden	Dahomey	1	N	246	10	8	1.179	13	12	25	NA	NA	NA
630	3	1	315	M	Dahomey	Sweden	1	N	245	10	7	1.102	NA	NA	NA	67	0	1.0000000
631	3	1	316	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
632	3	1	316	M	Israel	Barcelona	1	P	248	10	10	1.179	NA	NA	NA	90	0	1.0000000
633	3	1	317	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
634	3	1	317	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
635	3	1	318	F	Dahomey	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
636	3	1	318	M	Israel	Dahomey	1	P	252	10	14	1.014	NA	NA	NA	72	17	0.8089888
637	3	1	319	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
638	3	1	319	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
639	3	1	320	F	Sweden	Israel	1	N	NA	NA	NA	1.194	25	21	46	NA	NA	NA
640	3	1	320	M	Israel	Sweden	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
641	3	1	321	F	Barcelona	Sweden	1	N	258	10	20	NA	28	20	48	NA	NA	NA
642	3	1	321	M	Sweden	Barcelona	1	N	260	10	22	1.030	NA	NA	NA	140	0	1.0000000
643	3	1	322	F	Brownsville	Sweden	1	N	252	10	14	1.083	23	22	45	NA	NA	NA
644	3	1	322	M	Sweden	Brownsville	1	N	270	11	8	0.926	NA	NA	NA	0	103	0.0000000
645	3	1	323	F	Dahomey	Sweden	1	L	246	10	8	1.287	0	0	0	NA	NA	NA
646	3	1	323	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
647	3	1	324	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
648	3	1	324	M	Sweden	Israel	1	P	246	10	8	1.139	NA	NA	NA	44	0	1.0000000
649	3	1	325	F	Sweden	Sweden	1	N	244	10	6	1.163	26	32	58	NA	NA	NA
650	3	1	325	M	Sweden	Sweden	1	N	287	12	1	0.951	NA	NA	NA	0	52	0.0000000
651	3	1	326	F	Barcelona	Barcelona	1	P	260	10	22	1.020	35	19	54	NA	NA	NA
652	3	1	326	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
653	3	1	327	F	Brownsville	Barcelona	1	P	256	10	18	1.142	29	29	58	NA	NA	NA
654	3	1	327	M	Barcelona	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
655	3	1	328	F	Dahomey	Barcelona	1	N	254	10	16	1.176	13	34	47	NA	NA	NA
656	3	1	328	M	Barcelona	Dahomey	1	N	264	11	2	0.982	NA	NA	NA	119	0	1.0000000
657	3	1	329	F	Israel	Barcelona	1	N	273	11	11	1.108	0	0	0	NA	NA	NA
658	3	1	329	M	Barcelona	Israel	1	N	267	11	5	1.033	NA	NA	NA	0	59	0.0000000
661	3	1	331	F	Barcelona	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
662	3	1	331	M	Brownsville	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
663	3	1	332	F	Brownsville	Brownsville	1	N	265	11	3	1.039	5	4	9	NA	NA	NA
664	3	1	332	M	Brownsville	Brownsville	1	N	268	11	6	1.012	NA	NA	NA	0	72	0.0000000
665	3	1	333	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
666	3	1	333	M	Brownsville	Dahomey	1	P	250	10	12	1.050	NA	NA	NA	0	0	0.0000000
667	3	1	334	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
668	3	1	334	M	Brownsville	Israel	1	L	243	10	5	1.009	NA	NA	NA	0	32	0.0000000
669	3	1	335	F	Sweden	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
670	3	1	335	M	Brownsville	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
671	3	1	336	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
672	3	1	336	M	Dahomey	Barcelona	1	P	273	11	11	NA	NA	NA	NA	0	57	0.0000000
673	3	1	337	F	Brownsville	Dahomey	1	N	248	10	10	NA	27	24	51	NA	NA	NA
674	3	1	337	M	Dahomey	Brownsville	1	N	253	10	15	NA	NA	NA	NA	0	0	0.0000000
675	3	1	338	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
676	3	1	338	M	Dahomey	Dahomey	1	P	273	11	11	0.964	NA	NA	NA	0	76	0.0000000
677	3	1	339	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
678	3	1	339	M	Dahomey	Israel	1	P	266	11	4	1.030	NA	NA	NA	86	4	0.9555556
679	3	1	340	F	Sweden	Dahomey	1	N	248	10	10	NA	0	0	0	NA	NA	NA
680	3	1	340	M	Dahomey	Sweden	1	N	258	10	20	NA	NA	NA	NA	0	48	0.0000000
681	3	1	341	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
682	3	1	341	M	Israel	Barcelona	1	P	262	10	0	1.050	NA	NA	NA	83	5	0.9431818
683	3	1	342	F	Brownsville	Israel	1	N	261	10	23	1.084	22	23	45	NA	NA	NA
684	3	1	342	M	Israel	Brownsville	1	N	261	10	23	0.975	NA	NA	NA	69	0	1.0000000
685	3	1	343	F	Dahomey	Israel	1	N	259	10	21	1.155	0	0	0	NA	NA	NA
686	3	1	343	M	Israel	Dahomey	1	N	283	11	21	0.931	NA	NA	NA	0	40	0.0000000
687	3	1	344	F	Israel	Israel	1	N	269	11	7	NA	0	0	0	NA	NA	NA
688	3	1	344	M	Israel	Israel	1	N	276	11	14	1.060	NA	NA	NA	138	0	1.0000000
689	3	1	345	F	Sweden	Israel	1	N	271	11	9	1.038	14	15	29	NA	NA	NA
690	3	1	345	M	Israel	Sweden	1	N	274	11	12	1.032	NA	NA	NA	30	6	0.8333333
691	3	1	346	F	Barcelona	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
692	3	1	346	M	Sweden	Barcelona	1	P	266	11	4	1.035	NA	NA	NA	0	47	0.0000000
693	3	1	347	F	Brownsville	Sweden	1	N	259	10	21	1.106	36	24	60	NA	NA	NA
694	3	1	347	M	Sweden	Brownsville	1	N	253	10	15	1.054	NA	NA	NA	53	6	0.8983051
695	3	1	348	F	Dahomey	Sweden	1	N	270	11	8	NA	0	0	0	NA	NA	NA
696	3	1	348	M	Sweden	Dahomey	1	N	261	10	23	1.074	NA	NA	NA	0	37	0.0000000
697	3	1	349	F	Israel	Sweden	1	N	275	11	13	1.167	32	28	60	NA	NA	NA
698	3	1	349	M	Sweden	Israel	1	N	288	12	2	NA	NA	NA	NA	0	0	0.0000000
699	3	1	350	F	Sweden	Sweden	1	N	249	10	11	1.111	30	26	56	NA	NA	NA
700	3	1	350	M	Sweden	Sweden	1	N	270	11	8	1.072	NA	NA	NA	85	17	0.8333333
701	3	1	351	F	Barcelona	Barcelona	1	P	262	10	0	NA	NA	NA	NA	NA	NA	NA
702	3	1	351	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
703	3	1	352	F	Brownsville	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
704	3	1	352	M	Barcelona	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
705	3	1	353	F	Dahomey	Barcelona	1	N	247	10	9	1.113	15	14	29	NA	NA	NA
706	3	1	353	M	Barcelona	Dahomey	1	N	267	11	5	NA	NA	NA	NA	0	0	0.0000000
707	3	1	354	F	Israel	Barcelona	1	N	258	10	20	1.210	29	18	47	NA	NA	NA
708	3	1	354	M	Barcelona	Israel	1	N	261	10	23	1.137	NA	NA	NA	50	0	1.0000000
709	3	1	355	F	Sweden	Barcelona	1	N	252	10	14	1.057	26	23	49	NA	NA	NA
710	3	1	355	M	Barcelona	Sweden	1	N	249	10	11	1.060	NA	NA	NA	71	13	0.8452381
711	3	1	356	F	Barcelona	Brownsville	1	N	267	11	5	1.074	38	35	73	NA	NA	NA
712	3	1	356	M	Brownsville	Barcelona	1	N	256	10	18	1.082	NA	NA	NA	0	87	0.0000000
713	3	1	357	F	Brownsville	Brownsville	1	L	268	11	6	NA	NA	NA	NA	NA	NA	NA
714	3	1	357	M	Brownsville	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
715	3	1	358	F	Dahomey	Brownsville	1	N	246	10	8	1.220	0	0	0	NA	NA	NA
716	3	1	358	M	Brownsville	Dahomey	1	N	249	10	11	1.094	NA	NA	NA	0	45	0.0000000
717	3	1	359	F	Israel	Brownsville	1	P	265	11	3	1.105	0	0	0	NA	NA	NA
718	3	1	359	M	Brownsville	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
719	3	1	360	F	Sweden	Brownsville	1	L	247	10	9	1.285	NA	NA	NA	NA	NA	NA
720	3	1	360	M	Brownsville	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
721	3	1	361	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
722	3	1	361	M	Dahomey	Barcelona	1	P	258	10	20	1.071	NA	NA	NA	151	1	0.9934211
723	3	1	362	F	Brownsville	Dahomey	1	N	255	10	17	1.178	5	5	10	NA	NA	NA
724	3	1	362	M	Dahomey	Brownsville	1	N	254	10	16	1.087	NA	NA	NA	150	2	0.9868421
725	3	1	363	F	Dahomey	Dahomey	1	N	293	12	7	1.052	21	32	53	NA	NA	NA
726	3	1	363	M	Dahomey	Dahomey	1	N	270	11	8	NA	NA	NA	NA	0	0	0.0000000
727	3	1	364	F	Israel	Dahomey	1	L	265	11	3	1.233	44	32	76	NA	NA	NA
728	3	1	364	M	Dahomey	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
729	3	1	365	F	Sweden	Dahomey	1	N	266	11	4	NA	20	14	34	NA	NA	NA
730	3	1	365	M	Dahomey	Sweden	1	N	247	10	9	1.060	NA	NA	NA	112	30	0.7887324
731	3	1	366	F	Barcelona	Israel	1	N	260	10	22	1.179	0	0	0	NA	NA	NA
732	3	1	366	M	Israel	Barcelona	1	N	264	11	2	1.038	NA	NA	NA	0	0	0.0000000
733	3	1	367	F	Brownsville	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
734	3	1	367	M	Israel	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
735	3	1	368	F	Dahomey	Israel	1	P	262	10	0	1.106	26	25	51	NA	NA	NA
736	3	1	368	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
737	3	1	369	F	Israel	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
738	3	1	369	M	Israel	Israel	1	P	256	10	18	1.134	NA	NA	NA	1	3	0.2500000
739	3	1	370	F	Sweden	Israel	1	L	259	10	21	1.214	8	18	26	NA	NA	NA
740	3	1	370	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
741	3	1	371	F	Barcelona	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
742	3	1	371	M	Sweden	Barcelona	1	L	257	10	19	1.005	NA	NA	NA	73	36	0.6697248
743	3	1	372	F	Brownsville	Sweden	1	N	263	10	1	1.057	31	21	52	NA	NA	NA
744	3	1	372	M	Sweden	Brownsville	1	N	270	11	8	0.928	NA	NA	NA	0	11	0.0000000
745	3	1	373	F	Dahomey	Sweden	1	N	262	10	0	1.068	24	28	52	NA	NA	NA
746	3	1	373	M	Sweden	Dahomey	1	N	271	11	9	NA	NA	NA	NA	0	0	0.0000000
747	3	1	374	F	Israel	Sweden	1	N	278	11	16	1.133	27	30	57	NA	NA	NA
748	3	1	374	M	Sweden	Israel	1	N	261	10	23	NA	NA	NA	NA	59	109	0.3511905
749	3	1	375	F	Sweden	Sweden	1	P	268	11	6	1.140	38	31	69	NA	NA	NA
750	3	1	375	M	Sweden	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
751	3	1	376	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
752	3	1	376	M	Barcelona	Barcelona	1	P	268	11	6	0.926	NA	NA	NA	0	19	0.0000000
753	3	1	377	F	Brownsville	Barcelona	1	L	243	10	5	1.369	0	0	0	NA	NA	NA
754	3	1	377	M	Barcelona	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
755	3	1	378	F	Dahomey	Barcelona	1	P	264	11	2	NA	0	0	0	NA	NA	NA
756	3	1	378	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
757	3	1	379	F	Israel	Barcelona	1	N	262	10	0	1.202	31	37	68	NA	NA	NA
758	3	1	379	M	Barcelona	Israel	1	N	285	11	23	1.016	NA	NA	NA	0	32	0.0000000
759	3	1	380	F	Sweden	Barcelona	1	N	253	10	15	NA	0	0	0	NA	NA	NA
760	3	1	380	M	Barcelona	Sweden	1	N	289	12	3	NA	NA	NA	NA	0	0	0.0000000
761	3	1	381	F	Barcelona	Brownsville	1	L	259	10	21	1.303	47	53	100	NA	NA	NA
762	3	1	381	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
763	3	1	382	F	Brownsville	Brownsville	1	P	262	10	0	NA	24	11	35	NA	NA	NA
764	3	1	382	M	Brownsville	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
765	3	1	383	F	Dahomey	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
766	3	1	383	M	Brownsville	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
767	3	1	384	F	Israel	Brownsville	1	N	273	11	11	1.174	0	0	0	NA	NA	NA
768	3	1	384	M	Brownsville	Israel	1	N	274	11	12	NA	NA	NA	NA	0	0	0.0000000
769	3	1	385	F	Sweden	Brownsville	1	N	NA	NA	NA	1.086	27	29	56	NA	NA	NA
770	3	1	385	M	Brownsville	Sweden	1	N	NA	NA	NA	0.969	NA	NA	NA	0	11	0.0000000
771	3	1	386	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
772	3	1	386	M	Dahomey	Barcelona	1	P	287	12	1	NA	NA	NA	NA	0	65	0.0000000
773	3	1	387	F	Brownsville	Dahomey	1	P	262	10	0	1.166	37	27	64	NA	NA	NA
774	3	1	387	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
775	3	1	388	F	Dahomey	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
776	3	1	388	M	Dahomey	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
777	3	1	389	F	Israel	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
778	3	1	389	M	Dahomey	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
781	3	1	391	F	Barcelona	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
782	3	1	391	M	Israel	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
783	3	1	392	F	Brownsville	Israel	1	N	255	10	17	1.190	0	0	0	NA	NA	NA
784	3	1	392	M	Israel	Brownsville	1	N	266	11	4	NA	NA	NA	NA	0	63	0.0000000
785	3	1	393	F	Dahomey	Israel	1	P	260	10	22	1.134	26	31	57	NA	NA	NA
786	3	1	393	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
787	3	1	394	F	Israel	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
788	3	1	394	M	Israel	Israel	1	P	262	10	0	1.116	NA	NA	NA	92	2	0.9787234
789	3	1	395	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
790	3	1	395	M	Israel	Sweden	1	P	273	11	11	NA	NA	NA	NA	0	0	0.0000000
793	3	1	397	F	Brownsville	Sweden	1	L	262	10	0	1.183	13	0	13	NA	NA	NA
794	3	1	397	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
795	3	1	398	F	Dahomey	Sweden	1	P	274	11	12	0.940	27	29	56	NA	NA	NA
796	3	1	398	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
797	3	1	399	F	Israel	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
798	3	1	399	M	Sweden	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
799	3	1	400	F	Sweden	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
800	3	1	400	M	Sweden	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
801	3	2	401	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
802	3	2	401	M	Barcelona	Barcelona	1	P	255	10	17	NA	NA	NA	NA	0	0	0.0000000
803	3	2	402	F	Brownsville	Barcelona	1	N	244	10	6	1.108	23	20	43	NA	NA	NA
804	3	2	402	M	Barcelona	Brownsville	1	N	249	10	11	NA	NA	NA	NA	0	0	0.0000000
805	3	2	403	F	Dahomey	Barcelona	1	L	265	11	3	1.024	26	29	55	NA	NA	NA
806	3	2	403	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
807	3	2	404	F	Israel	Barcelona	1	N	265	11	3	1.015	20	18	38	NA	NA	NA
808	3	2	404	M	Barcelona	Israel	1	N	264	11	2	0.955	NA	NA	NA	119	0	1.0000000
809	3	2	405	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
810	3	2	405	M	Barcelona	Sweden	1	P	266	11	4	0.956	NA	NA	NA	0	35	0.0000000
811	3	2	406	F	Barcelona	Brownsville	1	P	263	10	1	1.119	18	8	26	NA	NA	NA
812	3	2	406	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
813	3	2	407	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
814	3	2	407	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
815	3	2	408	F	Dahomey	Brownsville	1	P	245	10	7	1.143	31	32	63	NA	NA	NA
816	3	2	408	M	Brownsville	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
817	3	2	409	F	Israel	Brownsville	1	N	258	10	20	1.172	37	34	71	NA	NA	NA
818	3	2	409	M	Brownsville	Israel	1	N	269	11	7	1.025	NA	NA	NA	67	44	0.6036036
819	3	2	410	F	Sweden	Brownsville	1	N	262	10	0	1.183	20	20	40	NA	NA	NA
820	3	2	410	M	Brownsville	Sweden	1	N	261	10	23	1.006	NA	NA	NA	96	0	1.0000000
821	3	2	411	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
822	3	2	411	M	Dahomey	Barcelona	1	P	257	10	19	NA	NA	NA	NA	0	0	0.0000000
823	3	2	412	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
824	3	2	412	M	Dahomey	Brownsville	1	P	255	10	17	1.068	NA	NA	NA	32	2	0.9411765
825	3	2	413	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
826	3	2	413	M	Dahomey	Dahomey	1	L	263	10	1	NA	NA	NA	NA	8	20	0.2857143
827	3	2	414	F	Israel	Dahomey	1	N	242	10	4	1.094	23	31	54	NA	NA	NA
828	3	2	414	M	Dahomey	Israel	1	N	262	10	0	NA	NA	NA	NA	0	0	0.0000000
829	3	2	415	F	Sweden	Dahomey	1	N	272	11	10	NA	0	0	0	NA	NA	NA
830	3	2	415	M	Dahomey	Sweden	1	N	263	10	1	1.023	NA	NA	NA	121	2	0.9837398
831	3	2	416	F	Barcelona	Israel	1	N	276	11	14	1.123	27	31	58	NA	NA	NA
832	3	2	416	M	Israel	Barcelona	1	N	251	10	13	1.055	NA	NA	NA	83	68	0.5496689
833	3	2	417	F	Brownsville	Israel	1	N	285	11	23	1.013	12	30	42	NA	NA	NA
834	3	2	417	M	Israel	Brownsville	1	N	261	10	23	NA	NA	NA	NA	58	0	1.0000000
835	3	2	418	F	Dahomey	Israel	1	L	271	11	9	1.137	27	23	50	NA	NA	NA
836	3	2	418	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
837	3	2	419	F	Israel	Israel	1	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
838	3	2	419	M	Israel	Israel	1	N	259	10	21	0.977	NA	NA	NA	0	45	0.0000000
839	3	2	420	F	Sweden	Israel	1	N	267	11	5	1.022	12	23	35	NA	NA	NA
840	3	2	420	M	Israel	Sweden	1	N	258	10	20	1.017	NA	NA	NA	76	0	1.0000000
841	3	2	421	F	Barcelona	Sweden	1	N	257	10	19	NA	0	0	0	NA	NA	NA
842	3	2	421	M	Sweden	Barcelona	1	N	258	10	20	NA	NA	NA	NA	119	0	1.0000000
843	3	2	422	F	Brownsville	Sweden	1	N	264	11	2	1.133	15	18	33	NA	NA	NA
844	3	2	422	M	Sweden	Brownsville	1	N	NA	NA	NA	0.938	NA	NA	NA	0	40	0.0000000
845	3	2	423	F	Dahomey	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
846	3	2	423	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
847	3	2	424	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
848	3	2	424	M	Sweden	Israel	1	L	283	11	21	0.875	NA	NA	NA	0	56	0.0000000
849	3	2	425	F	Sweden	Sweden	1	N	247	10	9	NA	0	0	0	NA	NA	NA
850	3	2	425	M	Sweden	Sweden	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
851	3	2	426	F	Barcelona	Barcelona	1	L	267	11	5	NA	37	20	57	NA	NA	NA
852	3	2	426	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
855	3	2	428	F	Dahomey	Barcelona	1	L	247	10	9	1.175	35	30	65	NA	NA	NA
856	3	2	428	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
857	3	2	429	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
858	3	2	429	M	Barcelona	Israel	1	L	263	10	1	1.051	NA	NA	NA	93	15	0.8611111
859	3	2	430	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
860	3	2	430	M	Barcelona	Sweden	1	P	268	11	6	0.949	NA	NA	NA	0	115	0.0000000
861	3	2	431	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
862	3	2	431	M	Brownsville	Barcelona	1	P	268	11	6	1.033	NA	NA	NA	0	94	0.0000000
863	3	2	432	F	Brownsville	Brownsville	1	P	249	10	11	NA	0	0	0	NA	NA	NA
864	3	2	432	M	Brownsville	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
865	3	2	433	F	Dahomey	Brownsville	1	N	250	10	12	NA	38	38	76	NA	NA	NA
866	3	2	433	M	Brownsville	Dahomey	1	N	263	10	1	NA	NA	NA	NA	0	0	0.0000000
867	3	2	434	F	Israel	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
868	3	2	434	M	Brownsville	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
869	3	2	435	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
870	3	2	435	M	Brownsville	Sweden	1	P	263	10	1	NA	NA	NA	NA	0	0	0.0000000
871	3	2	436	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
872	3	2	436	M	Dahomey	Barcelona	1	P	249	10	11	NA	NA	NA	NA	0	0	0.0000000
873	3	2	437	F	Brownsville	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
874	3	2	437	M	Dahomey	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
875	3	2	438	F	Dahomey	Dahomey	1	N	249	10	11	NA	0	0	0	NA	NA	NA
876	3	2	438	M	Dahomey	Dahomey	1	N	248	10	10	NA	NA	NA	NA	0	0	0.0000000
877	3	2	439	F	Israel	Dahomey	1	N	264	11	2	NA	0	0	0	NA	NA	NA
878	3	2	439	M	Dahomey	Israel	1	N	257	10	19	NA	NA	NA	NA	0	0	0.0000000
879	3	2	440	F	Sweden	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
880	3	2	440	M	Dahomey	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
881	3	2	441	F	Barcelona	Israel	1	N	252	10	14	NA	0	0	0	NA	NA	NA
882	3	2	441	M	Israel	Barcelona	1	N	248	10	10	NA	NA	NA	NA	0	0	0.0000000
883	3	2	442	F	Brownsville	Israel	1	P	247	10	9	NA	0	0	0	NA	NA	NA
884	3	2	442	M	Israel	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
885	3	2	443	F	Dahomey	Israel	1	N	241	10	3	1.142	0	0	0	NA	NA	NA
886	3	2	443	M	Israel	Dahomey	1	N	NA	NA	NA	NA	NA	NA	NA	0	56	0.0000000
887	3	2	444	F	Israel	Israel	1	N	247	10	9	NA	0	0	0	NA	NA	NA
888	3	2	444	M	Israel	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
889	3	2	445	F	Sweden	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
890	3	2	445	M	Israel	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
891	3	2	446	F	Barcelona	Sweden	1	N	263	10	1	1.052	29	26	55	NA	NA	NA
892	3	2	446	M	Sweden	Barcelona	1	N	263	10	1	1.004	NA	NA	NA	137	0	1.0000000
893	3	2	447	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
894	3	2	447	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
895	3	2	448	F	Dahomey	Sweden	1	P	264	11	2	NA	0	0	0	NA	NA	NA
896	3	2	448	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
897	3	2	449	F	Israel	Sweden	1	N	255	10	17	NA	0	0	0	NA	NA	NA
898	3	2	449	M	Sweden	Israel	1	N	247	10	9	1.086	NA	NA	NA	95	12	0.8878505
899	3	2	450	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
900	3	2	450	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
901	3	2	451	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
902	3	2	451	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
903	3	2	452	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
904	3	2	452	M	Barcelona	Brownsville	1	P	287	12	1	0.913	NA	NA	NA	0	57	0.0000000
905	3	2	453	F	Dahomey	Barcelona	1	P	248	10	10	1.170	8	11	19	NA	NA	NA
906	3	2	453	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
907	3	2	454	F	Israel	Barcelona	1	N	261	10	23	1.252	51	42	93	NA	NA	NA
908	3	2	454	M	Barcelona	Israel	1	N	251	10	13	NA	NA	NA	NA	92	7	0.9292929
909	3	2	455	F	Sweden	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
910	3	2	455	M	Barcelona	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
911	3	2	456	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
912	3	2	456	M	Brownsville	Barcelona	1	P	260	10	22	1.056	NA	NA	NA	67	11	0.8589744
913	3	2	457	F	Brownsville	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
914	3	2	457	M	Brownsville	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
915	3	2	458	F	Dahomey	Brownsville	1	P	NA	NA	NA	1.023	6	11	17	NA	NA	NA
916	3	2	458	M	Brownsville	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
917	3	2	459	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
918	3	2	459	M	Brownsville	Israel	1	P	267	11	5	1.110	NA	NA	NA	50	18	0.7352941
919	3	2	460	F	Sweden	Brownsville	1	P	290	12	4	0.979	22	16	38	NA	NA	NA
920	3	2	460	M	Brownsville	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
921	3	2	461	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
922	3	2	461	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
923	3	2	462	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
924	3	2	462	M	Dahomey	Brownsville	1	P	265	11	3	1.088	NA	NA	NA	0	21	0.0000000
925	3	2	463	F	Dahomey	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
926	3	2	463	M	Dahomey	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
927	3	2	464	F	Israel	Dahomey	1	N	290	12	4	0.955	37	23	60	NA	NA	NA
928	3	2	464	M	Dahomey	Israel	1	N	256	10	18	1.051	NA	NA	NA	15	18	0.4545455
929	3	2	465	F	Sweden	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
930	3	2	465	M	Dahomey	Sweden	1	P	259	10	21	NA	NA	NA	NA	2	25	0.0740741
931	3	2	466	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
932	3	2	466	M	Israel	Barcelona	1	P	251	10	13	0.964	NA	NA	NA	69	0	1.0000000
933	3	2	467	F	Brownsville	Israel	1	N	267	11	5	1.126	29	27	56	NA	NA	NA
934	3	2	467	M	Israel	Brownsville	1	N	285	11	23	1.005	NA	NA	NA	0	28	0.0000000
935	3	2	468	F	Dahomey	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
936	3	2	468	M	Israel	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
937	3	2	469	F	Israel	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
938	3	2	469	M	Israel	Israel	1	P	255	10	17	1.122	NA	NA	NA	83	29	0.7410714
939	3	2	470	F	Sweden	Israel	1	P	262	10	0	0.991	17	21	38	NA	NA	NA
940	3	2	470	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
941	3	2	471	F	Barcelona	Sweden	1	L	262	10	0	1.204	31	39	70	NA	NA	NA
942	3	2	471	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
943	3	2	472	F	Brownsville	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
944	3	2	472	M	Sweden	Brownsville	1	P	281	11	19	0.983	NA	NA	NA	0	24	0.0000000
945	3	2	473	F	Dahomey	Sweden	1	P	260	10	22	1.133	9	14	23	NA	NA	NA
946	3	2	473	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
947	3	2	474	F	Israel	Sweden	1	P	256	10	18	1.217	29	38	67	NA	NA	NA
948	3	2	474	M	Sweden	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
951	3	2	476	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
952	3	2	476	M	Barcelona	Barcelona	1	P	283	11	21	NA	NA	NA	NA	0	24	0.0000000
961	3	2	481	F	Barcelona	Brownsville	1	N	268	11	6	1.019	0	0	0	NA	NA	NA
962	3	2	481	M	Brownsville	Barcelona	1	N	262	10	0	0.965	NA	NA	NA	0	33	0.0000000
963	3	2	482	F	Brownsville	Brownsville	1	N	284	11	22	NA	21	24	45	NA	NA	NA
964	3	2	482	M	Brownsville	Brownsville	1	N	250	10	12	1.086	NA	NA	NA	48	10	0.8275862
965	3	2	483	F	Dahomey	Brownsville	1	P	270	11	8	0.986	23	35	58	NA	NA	NA
966	3	2	483	M	Brownsville	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
967	3	2	484	F	Israel	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
968	3	2	484	M	Brownsville	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
969	3	2	485	F	Sweden	Brownsville	1	P	249	10	11	NA	0	0	0	NA	NA	NA
970	3	2	485	M	Brownsville	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
971	3	2	486	F	Barcelona	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
972	3	2	486	M	Dahomey	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
973	3	2	487	F	Brownsville	Dahomey	1	N	266	11	4	1.133	0	0	0	NA	NA	NA
974	3	2	487	M	Dahomey	Brownsville	1	N	248	10	10	NA	NA	NA	NA	0	0	0.0000000
975	3	2	488	F	Dahomey	Dahomey	1	N	264	11	2	1.075	10	11	21	NA	NA	NA
976	3	2	488	M	Dahomey	Dahomey	1	N	265	11	3	0.992	NA	NA	NA	0	12	0.0000000
977	3	2	489	F	Israel	Dahomey	1	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
978	3	2	489	M	Dahomey	Israel	1	N	NA	NA	NA	1.041	NA	NA	NA	89	18	0.8317757
979	3	2	490	F	Sweden	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
980	3	2	490	M	Dahomey	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
981	3	2	491	F	Barcelona	Israel	1	N	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
982	3	2	491	M	Israel	Barcelona	1	N	NA	NA	NA	0.883	NA	NA	NA	0	42	0.0000000
983	3	2	492	F	Brownsville	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
984	3	2	492	M	Israel	Brownsville	1	P	297	12	11	NA	NA	NA	NA	0	0	0.0000000
985	3	2	493	F	Dahomey	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
986	3	2	493	M	Israel	Dahomey	1	L	264	11	2	NA	NA	NA	NA	107	0	1.0000000
987	3	2	494	F	Israel	Israel	1	N	272	11	10	1.110	26	23	49	NA	NA	NA
988	3	2	494	M	Israel	Israel	1	N	268	11	6	0.999	NA	NA	NA	47	1	0.9791667
989	3	2	495	F	Sweden	Israel	1	L	261	10	23	1.190	34	35	69	NA	NA	NA
990	3	2	495	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1001	4	1	501	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1002	4	1	501	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1003	4	1	502	F	Brownsville	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1004	4	1	502	M	Barcelona	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1005	4	1	503	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1006	4	1	503	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1007	4	1	504	F	Israel	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1008	4	1	504	M	Barcelona	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1009	4	1	505	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1010	4	1	505	M	Barcelona	Sweden	1	P	247	10	9	0.939	NA	NA	NA	0	49	0.0000000
1011	4	1	506	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1012	4	1	506	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1013	4	1	507	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1014	4	1	507	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1015	4	1	508	F	Dahomey	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1016	4	1	508	M	Brownsville	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1017	4	1	509	F	Israel	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1018	4	1	509	M	Brownsville	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1019	4	1	510	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1020	4	1	510	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1021	4	1	511	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1022	4	1	511	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1023	4	1	512	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1024	4	1	512	M	Dahomey	Brownsville	1	P	246	10	8	0.879	NA	NA	NA	0	6	0.0000000
1025	4	1	513	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1026	4	1	513	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1027	4	1	514	F	Israel	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1028	4	1	514	M	Dahomey	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1029	4	1	515	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1030	4	1	515	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1031	4	1	516	F	Barcelona	Israel	1	N	246	10	8	1.001	13	13	26	NA	NA	NA
1032	4	1	516	M	Israel	Barcelona	1	N	248	10	10	NA	NA	NA	NA	0	0	0.0000000
1033	4	1	517	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1034	4	1	517	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1035	4	1	518	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1036	4	1	518	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1037	4	1	519	F	Israel	Israel	1	P	246	10	8	NA	0	0	0	NA	NA	NA
1038	4	1	519	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1039	4	1	520	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1040	4	1	520	M	Israel	Sweden	1	L	NA	NA	NA	1.059	NA	NA	NA	90	3	0.9677419
1041	4	1	521	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1042	4	1	521	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1043	4	1	522	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1044	4	1	522	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1045	4	1	523	F	Dahomey	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1046	4	1	523	M	Sweden	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1047	4	1	524	F	Israel	Sweden	1	L	247	10	9	NA	25	22	47	NA	NA	NA
1048	4	1	524	M	Sweden	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1049	4	1	525	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1050	4	1	525	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1051	4	1	526	F	Barcelona	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1052	4	1	526	M	Barcelona	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1053	4	1	527	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1054	4	1	527	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1055	4	1	528	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1056	4	1	528	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1057	4	1	529	F	Israel	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1058	4	1	529	M	Barcelona	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1059	4	1	530	F	Sweden	Barcelona	1	N	271	11	9	NA	0	0	0	NA	NA	NA
1060	4	1	530	M	Barcelona	Sweden	1	N	271	11	9	NA	NA	NA	NA	0	0	0.0000000
1063	4	1	532	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1064	4	1	532	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1065	4	1	533	F	Dahomey	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1066	4	1	533	M	Brownsville	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1067	4	1	534	F	Israel	Brownsville	1	L	244	10	6	NA	0	0	0	NA	NA	NA
1068	4	1	534	M	Brownsville	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1069	4	1	535	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1070	4	1	535	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1071	4	1	536	F	Barcelona	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1072	4	1	536	M	Dahomey	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1073	4	1	537	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1074	4	1	537	M	Dahomey	Brownsville	1	L	244	10	6	1.130	NA	NA	NA	NA	NA	0.9756098
1075	4	1	538	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1076	4	1	538	M	Dahomey	Dahomey	1	P	240	10	2	1.055	NA	NA	NA	22	18	0.5500000
1077	4	1	539	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1078	4	1	539	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1079	4	1	540	F	Sweden	Dahomey	1	L	NA	NA	NA	0.870	21	14	35	NA	NA	NA
1080	4	1	540	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1081	4	1	541	F	Barcelona	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1082	4	1	541	M	Israel	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1083	4	1	542	F	Brownsville	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1084	4	1	542	M	Israel	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1085	4	1	543	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1086	4	1	543	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1087	4	1	544	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1088	4	1	544	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1089	4	1	545	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1090	4	1	545	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1093	4	1	547	F	Brownsville	Sweden	1	N	253	10	15	0.982	20	22	42	NA	NA	NA
1094	4	1	547	M	Sweden	Brownsville	1	N	263	10	1	0.897	NA	NA	NA	0	43	0.0000000
1095	4	1	548	F	Dahomey	Sweden	1	L	263	10	1	1.042	23	31	54	NA	NA	NA
1096	4	1	548	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1097	4	1	549	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1098	4	1	549	M	Sweden	Israel	1	P	264	11	2	0.890	NA	NA	NA	NA	NA	0.0000000
1099	4	1	550	F	Sweden	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1100	4	1	550	M	Sweden	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1101	4	1	551	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1102	4	1	551	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1103	4	1	552	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1104	4	1	552	M	Barcelona	Brownsville	1	P	247	10	9	NA	NA	NA	NA	0	0	0.0000000
1105	4	1	553	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1106	4	1	553	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1107	4	1	554	F	Israel	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1108	4	1	554	M	Barcelona	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1109	4	1	555	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1110	4	1	555	M	Barcelona	Sweden	1	P	264	11	2	0.882	NA	NA	NA	0	32	0.0000000
1111	4	1	556	F	Barcelona	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1112	4	1	556	M	Brownsville	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1113	4	1	557	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1114	4	1	557	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1115	4	1	558	F	Dahomey	Brownsville	1	N	244	10	6	NA	0	0	0	NA	NA	NA
1116	4	1	558	M	Brownsville	Dahomey	1	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1117	4	1	559	F	Israel	Brownsville	1	L	NA	NA	NA	1.125	32	25	57	NA	NA	NA
1118	4	1	559	M	Brownsville	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1119	4	1	560	F	Sweden	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1120	4	1	560	M	Brownsville	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1121	4	1	561	F	Barcelona	Dahomey	1	L	263	10	1	0.955	21	26	47	NA	NA	NA
1122	4	1	561	M	Dahomey	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1123	4	1	562	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1124	4	1	562	M	Dahomey	Brownsville	1	P	244	10	6	NA	NA	NA	NA	0	30	0.0000000
1125	4	1	563	F	Dahomey	Dahomey	1	P	253	10	15	1.062	19	24	43	NA	NA	NA
1126	4	1	563	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1127	4	1	564	F	Israel	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1128	4	1	564	M	Dahomey	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1129	4	1	565	F	Sweden	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1130	4	1	565	M	Dahomey	Sweden	1	P	290	12	4	NA	NA	NA	NA	0	41	0.0000000
1131	4	1	566	F	Barcelona	Israel	1	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1132	4	1	566	M	Israel	Barcelona	1	N	NA	NA	NA	0.903	NA	NA	NA	0	80	0.0000000
1133	4	1	567	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1134	4	1	567	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1135	4	1	568	F	Dahomey	Israel	1	L	245	10	7	1.121	44	35	79	NA	NA	NA
1136	4	1	568	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1137	4	1	569	F	Israel	Israel	1	N	268	11	6	0.978	0	0	0	NA	NA	NA
1138	4	1	569	M	Israel	Israel	1	N	265	11	3	0.880	NA	NA	NA	0	84	0.0000000
1139	4	1	570	F	Sweden	Israel	1	N	264	11	2	0.975	14	21	35	NA	NA	NA
1140	4	1	570	M	Israel	Sweden	1	N	252	10	14	0.933	NA	NA	NA	21	61	0.2560976
1141	4	1	571	F	Barcelona	Sweden	1	N	267	11	5	1.044	35	34	69	NA	NA	NA
1142	4	1	571	M	Sweden	Barcelona	1	N	247	10	9	1.002	NA	NA	NA	125	0	1.0000000
1143	4	1	572	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1144	4	1	572	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1145	4	1	573	F	Dahomey	Sweden	1	N	249	10	11	0.895	0	0	0	NA	NA	NA
1146	4	1	573	M	Sweden	Dahomey	1	N	247	10	9	NA	NA	NA	NA	0	0	0.0000000
1147	4	1	574	F	Israel	Sweden	1	P	248	10	10	NA	0	0	0	NA	NA	NA
1148	4	1	574	M	Sweden	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1149	4	1	575	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1150	4	1	575	M	Sweden	Sweden	1	P	250	10	12	0.913	NA	NA	NA	0	0	0.0000000
1151	4	1	576	F	Barcelona	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1152	4	1	576	M	Barcelona	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1153	4	1	577	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1154	4	1	577	M	Barcelona	Brownsville	1	L	NA	NA	NA	1.159	NA	NA	NA	0	58	0.0000000
1155	4	1	578	F	Dahomey	Barcelona	1	P	270	11	8	NA	0	0	0	NA	NA	NA
1156	4	1	578	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1157	4	1	579	F	Israel	Barcelona	1	P	NA	NA	NA	1.042	21	14	35	NA	NA	NA
1158	4	1	579	M	Barcelona	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1159	4	1	580	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1160	4	1	580	M	Barcelona	Sweden	1	L	299	12	13	NA	NA	NA	NA	NA	NA	NA
1161	4	1	581	F	Barcelona	Brownsville	1	P	NA	NA	NA	NA	20	21	41	NA	NA	NA
1162	4	1	581	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1163	4	1	582	F	Brownsville	Brownsville	1	L	NA	NA	NA	1.014	19	7	26	NA	NA	NA
1164	4	1	582	M	Brownsville	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1171	4	1	586	F	Barcelona	Dahomey	1	P	245	10	7	1.084	26	33	59	NA	NA	NA
1172	4	1	586	M	Dahomey	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1173	4	1	587	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1174	4	1	587	M	Dahomey	Brownsville	1	L	NA	NA	NA	0.995	NA	NA	NA	23	1	0.9583333
1175	4	1	588	F	Dahomey	Dahomey	1	N	NA	NA	NA	1.130	26	25	51	NA	NA	NA
1176	4	1	588	M	Dahomey	Dahomey	1	N	264	11	2	NA	NA	NA	NA	0	40	0.0000000
1177	4	1	589	F	Israel	Dahomey	1	P	250	10	12	1.053	22	24	46	NA	NA	NA
1178	4	1	589	M	Dahomey	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1179	4	1	590	F	Sweden	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1180	4	1	590	M	Dahomey	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1181	4	1	591	F	Barcelona	Israel	1	P	296	12	10	0.909	0	0	0	NA	NA	NA
1182	4	1	591	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1183	4	1	592	F	Brownsville	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1184	4	1	592	M	Israel	Brownsville	1	L	249	10	11	1.007	NA	NA	NA	0	64	0.0000000
1185	4	1	593	F	Dahomey	Israel	1	P	276	11	14	0.992	17	17	34	NA	NA	NA
1186	4	1	593	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1187	4	1	594	F	Israel	Israel	1	P	252	10	14	0.975	20	24	44	NA	NA	NA
1188	4	1	594	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1189	4	1	595	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1190	4	1	595	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1191	4	1	596	F	Barcelona	Sweden	1	N	263	10	1	NA	0	0	0	NA	NA	NA
1192	4	1	596	M	Sweden	Barcelona	1	N	263	10	1	NA	NA	NA	NA	0	0	0.0000000
1193	4	1	597	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1194	4	1	597	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1195	4	1	598	F	Dahomey	Sweden	1	N	251	10	13	1.076	22	25	47	NA	NA	NA
1196	4	1	598	M	Sweden	Dahomey	1	N	268	11	6	0.878	NA	NA	NA	0	68	0.0000000
1197	4	1	599	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1198	4	1	599	M	Sweden	Israel	1	P	266	11	4	0.922	NA	NA	NA	0	18	0.0000000
1199	4	1	600	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1200	4	1	600	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1201	4	2	601	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1202	4	2	601	M	Barcelona	Barcelona	1	P	251	10	13	0.918	NA	NA	NA	75	42	0.6410256
1203	4	2	602	F	Brownsville	Barcelona	1	N	264	11	2	1.016	25	18	43	NA	NA	NA
1204	4	2	602	M	Barcelona	Brownsville	1	N	252	10	14	NA	NA	NA	NA	0	61	0.0000000
1205	4	2	603	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1206	4	2	603	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1207	4	2	604	F	Israel	Barcelona	1	L	247	10	9	NA	13	13	26	NA	NA	NA
1208	4	2	604	M	Barcelona	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1209	4	2	605	F	Sweden	Barcelona	1	P	NA	NA	NA	0.904	16	16	32	NA	NA	NA
1210	4	2	605	M	Barcelona	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1211	4	2	606	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1212	4	2	606	M	Brownsville	Barcelona	1	L	NA	NA	NA	0.900	NA	NA	NA	0	82	0.0000000
1213	4	2	607	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1214	4	2	607	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1215	4	2	608	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1216	4	2	608	M	Brownsville	Dahomey	1	P	269	11	7	0.896	NA	NA	NA	0	84	0.0000000
1217	4	2	609	F	Israel	Brownsville	1	N	274	11	12	NA	27	23	50	NA	NA	NA
1218	4	2	609	M	Brownsville	Israel	1	N	265	11	3	0.931	NA	NA	NA	0	61	0.0000000
1219	4	2	610	F	Sweden	Brownsville	1	P	NA	NA	NA	1.073	0	0	0	NA	NA	NA
1220	4	2	610	M	Brownsville	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1221	4	2	611	F	Barcelona	Dahomey	1	L	252	10	14	1.014	0	0	0	NA	NA	NA
1222	4	2	611	M	Dahomey	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1223	4	2	612	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1224	4	2	612	M	Dahomey	Brownsville	1	L	246	10	8	1.004	NA	NA	NA	0	89	0.0000000
1225	4	2	613	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1226	4	2	613	M	Dahomey	Dahomey	1	P	244	10	6	1.037	NA	NA	NA	104	31	0.7703704
1227	4	2	614	F	Israel	Dahomey	1	L	246	10	8	1.060	23	15	38	NA	NA	NA
1228	4	2	614	M	Dahomey	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1229	4	2	615	F	Sweden	Dahomey	1	L	269	11	7	1.042	29	29	58	NA	NA	NA
1230	4	2	615	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1231	4	2	616	F	Barcelona	Israel	1	N	247	10	9	NA	0	0	0	NA	NA	NA
1232	4	2	616	M	Israel	Barcelona	1	N	244	10	6	1.007	NA	NA	NA	0	68	0.0000000
1233	4	2	617	F	Brownsville	Israel	1	P	245	10	7	1.045	20	25	45	NA	NA	NA
1234	4	2	617	M	Israel	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1235	4	2	618	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1236	4	2	618	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1237	4	2	619	F	Israel	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1238	4	2	619	M	Israel	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1239	4	2	620	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1240	4	2	620	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1243	4	2	622	F	Brownsville	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1244	4	2	622	M	Sweden	Brownsville	1	L	245	10	7	1.080	NA	NA	NA	149	0	1.0000000
1245	4	2	623	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1246	4	2	623	M	Sweden	Dahomey	1	P	244	10	6	1.021	NA	NA	NA	125	0	1.0000000
1247	4	2	624	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1248	4	2	624	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1249	4	2	625	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1250	4	2	625	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1251	4	2	626	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1252	4	2	626	M	Barcelona	Barcelona	1	L	247	10	9	1.073	NA	NA	NA	161	1	0.9938272
1253	4	2	627	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1254	4	2	627	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1255	4	2	628	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1256	4	2	628	M	Barcelona	Dahomey	1	P	264	11	2	NA	NA	NA	NA	0	0	0.0000000
1257	4	2	629	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1258	4	2	629	M	Barcelona	Israel	1	L	248	10	10	1.031	NA	NA	NA	0	30	0.0000000
1259	4	2	630	F	Sweden	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1260	4	2	630	M	Barcelona	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1261	4	2	631	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1262	4	2	631	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1263	4	2	632	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1264	4	2	632	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1265	4	2	633	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1266	4	2	633	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1267	4	2	634	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1268	4	2	634	M	Brownsville	Israel	1	L	248	10	10	NA	NA	NA	NA	0	5	0.0000000
1269	4	2	635	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1270	4	2	635	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1271	4	2	636	F	Barcelona	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1272	4	2	636	M	Dahomey	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1273	4	2	637	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1274	4	2	637	M	Dahomey	Brownsville	1	P	NA	NA	NA	0.878	NA	NA	NA	0	83	0.0000000
1275	4	2	638	F	Dahomey	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1276	4	2	638	M	Dahomey	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1277	4	2	639	F	Israel	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1278	4	2	639	M	Dahomey	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1279	4	2	640	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1280	4	2	640	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1281	4	2	641	F	Barcelona	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1282	4	2	641	M	Israel	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1283	4	2	642	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1284	4	2	642	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1285	4	2	643	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1286	4	2	643	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1287	4	2	644	F	Israel	Israel	1	N	NA	NA	NA	1.045	34	24	58	NA	NA	NA
1288	4	2	644	M	Israel	Israel	1	N	246	10	8	NA	NA	NA	NA	0	0	0.0000000
1289	4	2	645	F	Sweden	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1290	4	2	645	M	Israel	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1291	4	2	646	F	Barcelona	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1292	4	2	646	M	Sweden	Barcelona	1	L	266	11	4	1.047	NA	NA	NA	75	7	0.9146341
1295	4	2	648	F	Dahomey	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1296	4	2	648	M	Sweden	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1297	4	2	649	F	Israel	Sweden	1	L	249	10	11	1.024	23	25	48	NA	NA	NA
1298	4	2	649	M	Sweden	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1299	4	2	650	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1300	4	2	650	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1301	4	2	651	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1302	4	2	651	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1303	4	2	652	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1304	4	2	652	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1305	4	2	653	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1306	4	2	653	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1307	4	2	654	F	Israel	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1308	4	2	654	M	Barcelona	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1309	4	2	655	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1310	4	2	655	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1311	4	2	656	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1312	4	2	656	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1313	4	2	657	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1314	4	2	657	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1315	4	2	658	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1316	4	2	658	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1317	4	2	659	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1318	4	2	659	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1319	4	2	660	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1320	4	2	660	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1321	4	2	661	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1322	4	2	661	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1323	4	2	662	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1324	4	2	662	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1325	4	2	663	F	Dahomey	Dahomey	1	P	263	10	1	0.967	20	21	41	NA	NA	NA
1326	4	2	663	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1327	4	2	664	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1328	4	2	664	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1329	4	2	665	F	Sweden	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1330	4	2	665	M	Dahomey	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1331	4	2	666	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1332	4	2	666	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1333	4	2	667	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1334	4	2	667	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1335	4	2	668	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1336	4	2	668	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1337	4	2	669	F	Israel	Israel	1	P	250	10	12	1.038	24	16	40	NA	NA	NA
1338	4	2	669	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1339	4	2	670	F	Sweden	Israel	1	L	268	11	6	NA	0	0	0	NA	NA	NA
1340	4	2	670	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1341	4	2	671	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1342	4	2	671	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1343	4	2	672	F	Brownsville	Sweden	1	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1344	4	2	672	M	Sweden	Brownsville	1	N	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
1345	4	2	673	F	Dahomey	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1346	4	2	673	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1347	4	2	674	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1348	4	2	674	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1349	4	2	675	F	Sweden	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1350	4	2	675	M	Sweden	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1351	4	2	676	F	Barcelona	Barcelona	1	L	250	10	12	NA	0	0	0	NA	NA	NA
1352	4	2	676	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1353	4	2	677	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1354	4	2	677	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1355	4	2	678	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1356	4	2	678	M	Barcelona	Dahomey	1	P	250	10	12	1.077	NA	NA	NA	103	0	1.0000000
1357	4	2	679	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1358	4	2	679	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1359	4	2	680	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1360	4	2	680	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1361	4	2	681	F	Barcelona	Brownsville	1	L	264	11	2	0.963	11	6	17	NA	NA	NA
1362	4	2	681	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1363	4	2	682	F	Brownsville	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1364	4	2	682	M	Brownsville	Brownsville	1	L	265	11	3	0.841	NA	NA	NA	0	0	0.0000000
1365	4	2	683	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1366	4	2	683	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1367	4	2	684	F	Israel	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1368	4	2	684	M	Brownsville	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1369	4	2	685	F	Sweden	Brownsville	1	L	NA	NA	NA	1.005	4	3	7	NA	NA	NA
1370	4	2	685	M	Brownsville	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1371	4	2	686	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1372	4	2	686	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1373	4	2	687	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1374	4	2	687	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1375	4	2	688	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1376	4	2	688	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1377	4	2	689	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1378	4	2	689	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1381	4	2	691	F	Barcelona	Israel	1	N	275	11	13	NA	0	0	0	NA	NA	NA
1382	4	2	691	M	Israel	Barcelona	1	N	251	10	13	1.061	NA	NA	NA	33	0	1.0000000
1383	4	2	692	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1384	4	2	692	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1385	4	2	693	F	Dahomey	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1386	4	2	693	M	Israel	Dahomey	1	L	NA	NA	NA	0.957	NA	NA	NA	146	1	0.9931973
1387	4	2	694	F	Israel	Israel	1	L	248	10	10	NA	0	0	0	NA	NA	NA
1388	4	2	694	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1389	4	2	695	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1390	4	2	695	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1391	4	2	696	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1392	4	2	696	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1393	4	2	697	F	Brownsville	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1394	4	2	697	M	Sweden	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1395	4	2	698	F	Dahomey	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1396	4	2	698	M	Sweden	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1397	4	2	699	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1398	4	2	699	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1399	4	2	700	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1400	4	2	700	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1401	5	1	701	F	Barcelona	Barcelona	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1402	5	1	701	M	Barcelona	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1403	5	1	702	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1404	5	1	702	M	Barcelona	Brownsville	1	L	286	12	0	0.751	NA	NA	NA	0	46	0.0000000
1405	5	1	703	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1406	5	1	703	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1407	5	1	704	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1408	5	1	704	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1409	5	1	705	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1410	5	1	705	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1411	5	1	706	F	Barcelona	Brownsville	1	L	267	11	5	NA	NA	NA	NA	NA	NA	NA
1412	5	1	706	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1413	5	1	707	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1414	5	1	707	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1415	5	1	708	F	Dahomey	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1416	5	1	708	M	Brownsville	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1417	5	1	709	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1418	5	1	709	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1419	5	1	710	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1420	5	1	710	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1421	5	1	711	F	Barcelona	Dahomey	1	P	280	11	18	NA	0	0	0	NA	NA	NA
1422	5	1	711	M	Dahomey	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1423	5	1	712	F	Brownsville	Dahomey	1	P	284	11	22	NA	1	0	1	NA	NA	NA
1424	5	1	712	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1425	5	1	713	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1426	5	1	713	M	Dahomey	Dahomey	1	L	237	9	23	0.963	NA	NA	NA	0	14	0.0000000
1427	5	1	714	F	Israel	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1428	5	1	714	M	Dahomey	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1429	5	1	715	F	Sweden	Dahomey	1	L	268	11	6	1.071	25	20	45	NA	NA	NA
1430	5	1	715	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1431	5	1	716	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1432	5	1	716	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1433	5	1	717	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1434	5	1	717	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1435	5	1	718	F	Dahomey	Israel	1	L	257	10	19	1.016	24	30	54	NA	NA	NA
1436	5	1	718	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1437	5	1	719	F	Israel	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1438	5	1	719	M	Israel	Israel	1	L	278	11	16	0.862	NA	NA	NA	0	47	0.0000000
1439	5	1	720	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1440	5	1	720	M	Israel	Sweden	1	L	263	10	1	1.011	NA	NA	NA	0	27	0.0000000
1441	5	1	721	F	Barcelona	Sweden	1	P	281	11	19	0.901	5	5	10	NA	NA	NA
1442	5	1	721	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1443	5	1	722	F	Brownsville	Sweden	1	N	283	11	21	0.918	17	16	33	NA	NA	NA
1444	5	1	722	M	Sweden	Brownsville	1	N	278	11	16	0.890	NA	NA	NA	0	27	0.0000000
1445	5	1	723	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1446	5	1	723	M	Sweden	Dahomey	1	L	270	11	8	1.036	NA	NA	NA	23	9	0.7187500
1447	5	1	724	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1448	5	1	724	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1449	5	1	725	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1450	5	1	725	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1451	5	1	726	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1452	5	1	726	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1453	5	1	727	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1454	5	1	727	M	Barcelona	Brownsville	1	L	258	10	20	1.038	NA	NA	NA	0	65	0.0000000
1455	5	1	728	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1456	5	1	728	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1457	5	1	729	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1458	5	1	729	M	Barcelona	Israel	1	L	264	11	2	0.998	NA	NA	NA	0	18	0.0000000
1459	5	1	730	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1460	5	1	730	M	Barcelona	Sweden	1	L	267	11	5	NA	NA	NA	NA	0	20	0.0000000
1463	5	1	732	F	Brownsville	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1464	5	1	732	M	Brownsville	Brownsville	1	P	279	11	17	0.907	NA	NA	NA	0	56	0.0000000
1465	5	1	733	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1466	5	1	733	M	Brownsville	Dahomey	1	L	272	11	10	0.944	NA	NA	NA	0	12	0.0000000
1467	5	1	734	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1468	5	1	734	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1469	5	1	735	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1470	5	1	735	M	Brownsville	Sweden	1	L	243	10	5	NA	NA	NA	NA	0	0	0.0000000
1471	5	1	736	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1472	5	1	736	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1473	5	1	737	F	Brownsville	Dahomey	1	N	280	11	18	NA	1	1	2	NA	NA	NA
1474	5	1	737	M	Dahomey	Brownsville	1	N	287	12	1	NA	NA	NA	NA	0	86	0.0000000
1475	5	1	738	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1476	5	1	738	M	Dahomey	Dahomey	1	P	249	10	11	1.007	NA	NA	NA	0	15	0.0000000
1477	5	1	739	F	Israel	Dahomey	1	L	251	10	13	1.113	34	30	64	NA	NA	NA
1478	5	1	739	M	Dahomey	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1479	5	1	740	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1480	5	1	740	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1481	5	1	741	F	Barcelona	Israel	1	L	264	11	2	0.979	16	18	34	NA	NA	NA
1482	5	1	741	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1483	5	1	742	F	Brownsville	Israel	1	L	279	11	17	NA	0	0	0	NA	NA	NA
1484	5	1	742	M	Israel	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1487	5	1	744	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1488	5	1	744	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1489	5	1	745	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1490	5	1	745	M	Israel	Sweden	1	L	245	10	7	1.140	NA	NA	NA	120	8	0.9375000
1491	5	1	746	F	Barcelona	Sweden	1	L	267	11	5	1.045	17	21	38	NA	NA	NA
1492	5	1	746	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1493	5	1	747	F	Brownsville	Sweden	1	L	239	9	1	1.143	19	28	47	NA	NA	NA
1494	5	1	747	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1495	5	1	748	F	Dahomey	Sweden	1	N	282	11	20	0.976	5	9	14	NA	NA	NA
1496	5	1	748	M	Sweden	Dahomey	1	N	252	10	14	1.047	NA	NA	NA	21	7	0.7500000
1497	5	1	749	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1498	5	1	749	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1499	5	1	750	F	Sweden	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1500	5	1	750	M	Sweden	Sweden	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1501	5	2	751	F	Barcelona	Barcelona	1	L	240	10	2	1.053	10	18	28	NA	NA	NA
1502	5	2	751	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1503	5	2	752	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1504	5	2	752	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1505	5	2	753	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1506	5	2	753	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1507	5	2	754	F	Israel	Barcelona	1	L	260	10	22	NA	28	24	52	NA	NA	NA
1508	5	2	754	M	Barcelona	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1509	5	2	755	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1510	5	2	755	M	Barcelona	Sweden	1	L	250	10	12	1.024	NA	NA	NA	10	0	1.0000000
1511	5	2	756	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1512	5	2	756	M	Brownsville	Barcelona	1	L	257	10	19	NA	NA	NA	NA	0	0	0.0000000
1513	5	2	757	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1514	5	2	757	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1515	5	2	758	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1516	5	2	758	M	Brownsville	Dahomey	1	L	259	10	21	1.084	NA	NA	NA	0	0	0.0000000
1517	5	2	759	F	Israel	Brownsville	1	L	259	10	21	NA	0	0	0	NA	NA	NA
1518	5	2	759	M	Brownsville	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1519	5	2	760	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1520	5	2	760	M	Brownsville	Sweden	1	L	259	10	21	1.042	NA	NA	NA	0	88	0.0000000
1521	5	2	761	F	Barcelona	Dahomey	1	P	288	12	2	0.869	0	0	0	NA	NA	NA
1522	5	2	761	M	Dahomey	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1523	5	2	762	F	Brownsville	Dahomey	1	L	267	11	5	1.209	24	38	62	NA	NA	NA
1524	5	2	762	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1525	5	2	763	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1526	5	2	763	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1527	5	2	764	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1528	5	2	764	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1529	5	2	765	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1530	5	2	765	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1531	5	2	766	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1532	5	2	766	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1533	5	2	767	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1534	5	2	767	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1535	5	2	768	F	Dahomey	Israel	1	L	245	10	7	1.178	37	29	66	NA	NA	NA
1536	5	2	768	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1537	5	2	769	F	Israel	Israel	1	L	247	10	9	1.221	38	25	63	NA	NA	NA
1538	5	2	769	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1539	5	2	770	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1540	5	2	770	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1541	5	2	771	F	Barcelona	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1542	5	2	771	M	Sweden	Barcelona	1	L	242	10	4	1.040	NA	NA	NA	12	64	0.1578947
1543	5	2	772	F	Brownsville	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1544	5	2	772	M	Sweden	Brownsville	1	L	232	9	18	NA	NA	NA	NA	50	6	0.8928571
1547	5	2	774	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1548	5	2	774	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1549	5	2	775	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1550	5	2	775	M	Sweden	Sweden	1	L	262	10	0	0.971	NA	NA	NA	0	12	0.0000000
1551	5	2	776	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1552	5	2	776	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1553	5	2	777	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1554	5	2	777	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1555	5	2	778	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1556	5	2	778	M	Barcelona	Dahomey	1	L	263	10	1	0.978	NA	NA	NA	116	37	0.7581699
1557	5	2	779	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1558	5	2	779	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1559	5	2	780	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1560	5	2	780	M	Barcelona	Sweden	1	L	270	11	8	1.011	NA	NA	NA	16	7	0.6956522
1561	5	2	781	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1562	5	2	781	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1563	5	2	782	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1564	5	2	782	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1565	5	2	783	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1566	5	2	783	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1567	5	2	784	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1568	5	2	784	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1569	5	2	785	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1570	5	2	785	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1573	5	2	787	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1574	5	2	787	M	Dahomey	Brownsville	1	P	275	11	13	0.823	NA	NA	NA	0	79	0.0000000
1575	5	2	788	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1576	5	2	788	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1577	5	2	789	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1578	5	2	789	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1579	5	2	790	F	Sweden	Dahomey	1	N	253	10	15	0.964	2	6	8	NA	NA	NA
1580	5	2	790	M	Dahomey	Sweden	1	N	273	11	11	0.902	NA	NA	NA	0	63	0.0000000
1581	5	2	791	F	Barcelona	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1582	5	2	791	M	Israel	Barcelona	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1583	5	2	792	F	Brownsville	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1584	5	2	792	M	Israel	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1585	5	2	793	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1586	5	2	793	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1587	5	2	794	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1588	5	2	794	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1589	5	2	795	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1590	5	2	795	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1591	5	2	796	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1592	5	2	796	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1595	5	2	798	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1596	5	2	798	M	Sweden	Dahomey	1	L	246	10	8	NA	NA	NA	NA	69	0	1.0000000
1597	5	2	799	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1598	5	2	799	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1599	5	2	800	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1600	5	2	800	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1601	5	1	801	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1602	5	1	801	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1603	5	1	802	F	Brownsville	Barcelona	1	L	280	11	18	NA	0	0	0	NA	NA	NA
1604	5	1	802	M	Barcelona	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1605	5	1	803	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1606	5	1	803	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1607	5	1	804	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1608	5	1	804	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1609	5	1	805	F	Sweden	Barcelona	1	L	286	12	0	0.847	15	14	29	NA	NA	NA
1610	5	1	805	M	Barcelona	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1611	5	1	806	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1612	5	1	806	M	Brownsville	Barcelona	1	L	268	11	6	0.905	NA	NA	NA	0	11	0.0000000
1613	5	1	807	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1614	5	1	807	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1615	5	1	808	F	Dahomey	Brownsville	1	L	241	10	3	1.187	28	21	49	NA	NA	NA
1616	5	1	808	M	Brownsville	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1617	5	1	809	F	Israel	Brownsville	1	L	272	11	10	0.926	16	22	38	NA	NA	NA
1618	5	1	809	M	Brownsville	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1619	5	1	810	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1620	5	1	810	M	Brownsville	Sweden	1	L	260	10	22	1.010	NA	NA	NA	0	41	0.0000000
1621	5	1	811	F	Barcelona	Dahomey	1	N	263	10	1	0.979	20	20	40	NA	NA	NA
1622	5	1	811	M	Dahomey	Barcelona	1	N	259	10	21	0.988	NA	NA	NA	174	0	1.0000000
1623	5	1	812	F	Brownsville	Dahomey	1	P	246	10	8	1.078	14	14	28	NA	NA	NA
1624	5	1	812	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1625	5	1	813	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1626	5	1	813	M	Dahomey	Dahomey	1	L	246	10	8	0.989	NA	NA	NA	56	0	1.0000000
1627	5	1	814	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1628	5	1	814	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1629	5	1	815	F	Sweden	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1630	5	1	815	M	Dahomey	Sweden	1	L	246	10	8	0.976	NA	NA	NA	116	9	0.9280000
1631	5	1	816	F	Barcelona	Israel	1	L	253	10	15	1.068	20	26	46	NA	NA	NA
1632	5	1	816	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1633	5	1	817	F	Brownsville	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1634	5	1	817	M	Israel	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1635	5	1	818	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1636	5	1	818	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1637	5	1	819	F	Israel	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1638	5	1	819	M	Israel	Israel	1	P	280	11	18	NA	NA	NA	NA	0	0	0.0000000
1639	5	1	820	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1640	5	1	820	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1641	5	1	821	F	Barcelona	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1642	5	1	821	M	Sweden	Barcelona	1	L	274	11	12	0.912	NA	NA	NA	9	0	1.0000000
1643	5	1	822	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1644	5	1	822	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1645	5	1	823	F	Dahomey	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1646	5	1	823	M	Sweden	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1647	5	1	824	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1648	5	1	824	M	Sweden	Israel	1	P	263	10	1	0.939	NA	NA	NA	54	62	0.4655172
1649	5	1	825	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1650	5	1	825	M	Sweden	Sweden	1	L	270	11	8	NA	NA	NA	NA	0	0	0.0000000
1651	5	1	826	F	Barcelona	Barcelona	1	L	244	10	6	1.190	36	23	59	NA	NA	NA
1652	5	1	826	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1653	5	1	827	F	Brownsville	Barcelona	1	P	280	11	18	1.027	17	23	40	NA	NA	NA
1654	5	1	827	M	Barcelona	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1655	5	1	828	F	Dahomey	Barcelona	1	N	259	10	21	1.054	27	23	50	NA	NA	NA
1656	5	1	828	M	Barcelona	Dahomey	1	N	NA	NA	NA	0.983	NA	NA	NA	15	83	0.1530612
1657	5	1	829	F	Israel	Barcelona	1	P	252	10	14	1.089	28	36	64	NA	NA	NA
1658	5	1	829	M	Barcelona	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1659	5	1	830	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1660	5	1	830	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1661	5	1	831	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1662	5	1	831	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1663	5	1	832	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1664	5	1	832	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1665	5	1	833	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1666	5	1	833	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1667	5	1	834	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1668	5	1	834	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1669	5	1	835	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1670	5	1	835	M	Brownsville	Sweden	1	P	261	10	23	0.945	NA	NA	NA	0	89	0.0000000
1671	5	1	836	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1672	5	1	836	M	Dahomey	Barcelona	1	P	249	10	11	0.984	NA	NA	NA	0	35	0.0000000
1673	5	1	837	F	Brownsville	Dahomey	1	P	251	10	13	1.013	23	13	36	NA	NA	NA
1674	5	1	837	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1675	5	1	838	F	Dahomey	Dahomey	1	P	288	12	2	NA	0	0	0	NA	NA	NA
1676	5	1	838	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1677	5	1	839	F	Israel	Dahomey	1	L	251	10	13	1.034	21	26	47	NA	NA	NA
1678	5	1	839	M	Dahomey	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1679	5	1	840	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1680	5	1	840	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1681	5	1	841	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1682	5	1	841	M	Israel	Barcelona	1	P	252	10	14	0.969	NA	NA	NA	0	0	0.0000000
1683	5	1	842	F	Brownsville	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1684	5	1	842	M	Israel	Brownsville	1	L	253	10	15	0.936	NA	NA	NA	32	47	0.4050633
1685	5	1	843	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1686	5	1	843	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1687	5	1	844	F	Israel	Israel	1	L	247	10	9	0.995	17	14	31	NA	NA	NA
1688	5	1	844	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1689	5	1	845	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1690	5	1	845	M	Israel	Sweden	1	L	270	11	8	0.973	NA	NA	NA	0	74	0.0000000
1691	5	1	846	F	Barcelona	Sweden	1	L	238	9	0	1.023	27	21	48	NA	NA	NA
1692	5	1	846	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1693	5	1	847	F	Brownsville	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1694	5	1	847	M	Sweden	Brownsville	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1695	5	1	848	F	Dahomey	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1696	5	1	848	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1697	5	1	849	F	Israel	Sweden	1	N	274	11	12	0.962	0	0	0	NA	NA	NA
1698	5	1	849	M	Sweden	Israel	1	N	270	11	8	0.880	NA	NA	NA	0	33	0.0000000
1699	5	1	850	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1700	5	1	850	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1701	5	2	851	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1702	5	2	851	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1703	5	2	852	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1704	5	2	852	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1705	5	2	853	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1706	5	2	853	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1707	5	2	854	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1708	5	2	854	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1709	5	2	855	F	Sweden	Barcelona	1	L	273	11	11	0.967	9	11	20	NA	NA	NA
1710	5	2	855	M	Barcelona	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1711	5	2	856	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1712	5	2	856	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1713	5	2	857	F	Brownsville	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1714	5	2	857	M	Brownsville	Brownsville	1	L	269	11	7	0.928	NA	NA	NA	0	101	0.0000000
1715	5	2	858	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1716	5	2	858	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1717	5	2	859	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1718	5	2	859	M	Brownsville	Israel	1	L	266	11	4	1.067	NA	NA	NA	0	52	0.0000000
1719	5	2	860	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1720	5	2	860	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1721	5	2	861	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1722	5	2	861	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1723	5	2	862	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1724	5	2	862	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1725	5	2	863	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1726	5	2	863	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1727	5	2	864	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1728	5	2	864	M	Dahomey	Israel	1	L	271	11	9	0.782	NA	NA	NA	0	23	0.0000000
1729	5	2	865	F	Sweden	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1730	5	2	865	M	Dahomey	Sweden	1	L	281	11	19	1.017	NA	NA	NA	0	59	0.0000000
1731	5	2	866	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1732	5	2	866	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1733	5	2	867	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1734	5	2	867	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1735	5	2	868	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1736	5	2	868	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1737	5	2	869	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1738	5	2	869	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1739	5	2	870	F	Sweden	Israel	1	L	281	11	19	NA	0	0	0	NA	NA	NA
1740	5	2	870	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1741	5	2	871	F	Barcelona	Sweden	1	L	290	12	4	1.097	29	29	58	NA	NA	NA
1742	5	2	871	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1743	5	2	872	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1744	5	2	872	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1745	5	2	873	F	Dahomey	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1746	5	2	873	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1747	5	2	874	F	Israel	Sweden	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1748	5	2	874	M	Sweden	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1749	5	2	875	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1750	5	2	875	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1751	5	2	876	F	Barcelona	Barcelona	1	L	259	10	21	1.090	20	32	52	NA	NA	NA
1752	5	2	876	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1753	5	2	877	F	Brownsville	Barcelona	1	L	277	11	15	NA	0	0	0	NA	NA	NA
1754	5	2	877	M	Barcelona	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1755	5	2	878	F	Dahomey	Barcelona	1	L	250	10	12	NA	15	14	29	NA	NA	NA
1756	5	2	878	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1757	5	2	879	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1758	5	2	879	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1759	5	2	880	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1760	5	2	880	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1761	5	2	881	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1762	5	2	881	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1763	5	2	882	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1764	5	2	882	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1765	5	2	883	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1766	5	2	883	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1767	5	2	884	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1768	5	2	884	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1769	5	2	885	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1770	5	2	885	M	Brownsville	Sweden	1	L	285	11	23	0.926	NA	NA	NA	0	91	0.0000000
1771	5	2	886	F	Barcelona	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1772	5	2	886	M	Dahomey	Barcelona	1	P	286	12	0	0.851	NA	NA	NA	0	18	0.0000000
1773	5	2	887	F	Brownsville	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1774	5	2	887	M	Dahomey	Brownsville	1	L	276	11	14	0.821	NA	NA	NA	0	73	0.0000000
1775	5	2	888	F	Dahomey	Dahomey	1	P	272	11	10	NA	0	0	0	NA	NA	NA
1776	5	2	888	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1777	5	2	889	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1778	5	2	889	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1779	5	2	890	F	Sweden	Dahomey	1	P	256	10	18	0.977	13	23	36	NA	NA	NA
1780	5	2	890	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1781	5	2	891	F	Barcelona	Israel	1	L	272	11	10	1.056	0	0	0	NA	NA	NA
1782	5	2	891	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1783	5	2	892	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1784	5	2	892	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1785	5	2	893	F	Dahomey	Israel	1	L	245	10	7	1.062	33	21	54	NA	NA	NA
1786	5	2	893	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1787	5	2	894	F	Israel	Israel	1	L	242	10	4	1.198	0	0	0	NA	NA	NA
1788	5	2	894	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1789	5	2	895	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1790	5	2	895	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1791	5	2	896	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1792	5	2	896	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1793	5	2	897	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1794	5	2	897	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1795	5	2	898	F	Dahomey	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1796	5	2	898	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1797	5	2	899	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1798	5	2	899	M	Sweden	Israel	1	L	250	10	12	NA	NA	NA	NA	0	0	0.0000000
1799	5	2	900	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1800	5	2	900	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1801	6	1	901	F	Barcelona	Barcelona	1	L	252	10	14	NA	20	16	36	NA	NA	NA
1802	6	1	901	M	Barcelona	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1803	6	1	902	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1804	6	1	902	M	Barcelona	Brownsville	1	L	241	10	3	1.060	NA	NA	NA	36	68	0.3461538
1807	6	1	904	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1808	6	1	904	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1809	6	1	905	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1810	6	1	905	M	Barcelona	Sweden	1	L	260	10	22	1.084	NA	NA	NA	97	4	0.9603960
1811	6	1	906	F	Barcelona	Brownsville	1	L	NA	NA	NA	1.177	31	35	66	NA	NA	NA
1812	6	1	906	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1815	6	1	908	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1816	6	1	908	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1817	6	1	909	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1818	6	1	909	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1819	6	1	910	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1820	6	1	910	M	Brownsville	Sweden	1	L	257	10	19	0.898	NA	NA	NA	0	34	0.0000000
1821	6	1	911	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1822	6	1	911	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1823	6	1	912	F	Brownsville	Dahomey	1	N	242	10	4	1.018	17	18	35	NA	NA	NA
1824	6	1	912	M	Dahomey	Brownsville	1	N	260	10	22	0.932	NA	NA	NA	0	74	0.0000000
1825	6	1	913	F	Dahomey	Dahomey	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1826	6	1	913	M	Dahomey	Dahomey	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1827	6	1	914	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1828	6	1	914	M	Dahomey	Israel	1	L	251	10	13	0.872	NA	NA	NA	0	35	0.0000000
1829	6	1	915	F	Sweden	Dahomey	1	L	226	9	12	1.096	30	37	67	NA	NA	NA
1830	6	1	915	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1831	6	1	916	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1832	6	1	916	M	Israel	Barcelona	1	L	270	11	8	0.865	NA	NA	NA	0	101	0.0000000
1833	6	1	917	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1834	6	1	917	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1835	6	1	918	F	Dahomey	Israel	1	L	259	10	21	0.959	0	0	0	NA	NA	NA
1836	6	1	918	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1837	6	1	919	F	Israel	Israel	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1838	6	1	919	M	Israel	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1839	6	1	920	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1840	6	1	920	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1843	6	1	922	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1844	6	1	922	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1845	6	1	923	F	Dahomey	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1846	6	1	923	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1847	6	1	924	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1848	6	1	924	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1849	6	1	925	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1850	6	1	925	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1851	6	1	926	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1852	6	1	926	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1853	6	1	927	F	Brownsville	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1854	6	1	927	M	Barcelona	Brownsville	1	L	269	11	7	NA	NA	NA	NA	0	0	0.0000000
1855	6	1	928	F	Dahomey	Barcelona	1	L	240	10	2	1.100	30	28	58	NA	NA	NA
1856	6	1	928	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1857	6	1	929	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1858	6	1	929	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1859	6	1	930	F	Sweden	Barcelona	1	N	252	10	14	NA	22	17	39	NA	NA	NA
1860	6	1	930	M	Barcelona	Sweden	1	N	241	10	3	NA	NA	NA	NA	0	107	0.0000000
1861	6	1	931	F	Barcelona	Brownsville	1	L	246	10	8	NA	0	0	0	NA	NA	NA
1862	6	1	931	M	Brownsville	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1863	6	1	932	F	Brownsville	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1864	6	1	932	M	Brownsville	Brownsville	1	L	230	9	16	NA	NA	NA	NA	0	0	0.0000000
1865	6	1	933	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1866	6	1	933	M	Brownsville	Dahomey	1	L	247	10	9	NA	NA	NA	NA	0	0	0.0000000
1867	6	1	934	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1868	6	1	934	M	Brownsville	Israel	1	L	261	10	23	0.892	NA	NA	NA	0	56	0.0000000
1869	6	1	935	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1870	6	1	935	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1871	6	1	936	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1872	6	1	936	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1873	6	1	937	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1874	6	1	937	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1875	6	1	938	F	Dahomey	Dahomey	1	N	256	10	18	0.976	0	0	0	NA	NA	NA
1876	6	1	938	M	Dahomey	Dahomey	1	N	247	10	9	NA	NA	NA	NA	0	28	0.0000000
1877	6	1	939	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1878	6	1	939	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1879	6	1	940	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1880	6	1	940	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1881	6	1	941	F	Barcelona	Israel	1	L	247	10	9	NA	0	0	0	NA	NA	NA
1882	6	1	941	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1883	6	1	942	F	Brownsville	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1884	6	1	942	M	Israel	Brownsville	1	P	257	10	19	0.918	NA	NA	NA	0	105	0.0000000
1885	6	1	943	F	Dahomey	Israel	1	L	254	10	16	NA	0	0	0	NA	NA	NA
1886	6	1	943	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1887	6	1	944	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1888	6	1	944	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1889	6	1	945	F	Sweden	Israel	1	N	247	10	9	NA	0	0	0	NA	NA	NA
1890	6	1	945	M	Israel	Sweden	1	N	239	9	1	NA	NA	NA	NA	0	65	0.0000000
1891	6	1	946	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1892	6	1	946	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1893	6	1	947	F	Brownsville	Sweden	1	L	239	9	1	NA	0	0	0	NA	NA	NA
1894	6	1	947	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1895	6	1	948	F	Dahomey	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1896	6	1	948	M	Sweden	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1897	6	1	949	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1898	6	1	949	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1899	6	1	950	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1900	6	1	950	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1901	6	1	951	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1902	6	1	951	M	Barcelona	Barcelona	1	P	273	11	11	0.865	NA	NA	NA	0	0	0.0000000
1903	6	1	952	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1904	6	1	952	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1905	6	1	953	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1906	6	1	953	M	Barcelona	Dahomey	1	L	254	10	16	0.929	NA	NA	NA	0	35	0.0000000
1907	6	1	954	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1908	6	1	954	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1909	6	1	955	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1910	6	1	955	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1911	6	1	956	F	Barcelona	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1912	6	1	956	M	Brownsville	Barcelona	1	P	247	10	9	NA	NA	NA	NA	0	48	0.0000000
1913	6	1	957	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1914	6	1	957	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1915	6	1	958	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1916	6	1	958	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1917	6	1	959	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1918	6	1	959	M	Brownsville	Israel	1	L	244	10	6	0.706	NA	NA	NA	0	118	0.0000000
1919	6	1	960	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1920	6	1	960	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1921	6	1	961	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1922	6	1	961	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1923	6	1	962	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1924	6	1	962	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1925	6	1	963	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1926	6	1	963	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1927	6	1	964	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1928	6	1	964	M	Dahomey	Israel	1	L	249	10	11	1.078	NA	NA	NA	84	22	0.7924528
1929	6	1	965	F	Sweden	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1930	6	1	965	M	Dahomey	Sweden	1	L	243	10	5	1.008	NA	NA	NA	49	6	0.8909091
1931	6	1	966	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1932	6	1	966	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1933	6	1	967	F	Brownsville	Israel	1	P	NA	NA	NA	1.094	0	0	0	NA	NA	NA
1934	6	1	967	M	Israel	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1935	6	1	968	F	Dahomey	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1936	6	1	968	M	Israel	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1937	6	1	969	F	Israel	Israel	1	N	270	11	8	NA	0	0	0	NA	NA	NA
1938	6	1	969	M	Israel	Israel	1	N	268	11	6	0.844	NA	NA	NA	73	36	0.6697248
1939	6	1	970	F	Sweden	Israel	1	N	253	10	15	1.068	28	18	46	NA	NA	NA
1940	6	1	970	M	Israel	Sweden	1	N	271	11	9	0.900	NA	NA	NA	39	16	0.7090909
1941	6	1	971	F	Barcelona	Sweden	1	P	245	10	7	1.040	21	25	46	NA	NA	NA
1942	6	1	971	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1943	6	1	972	F	Brownsville	Sweden	1	L	241	10	3	NA	0	0	0	NA	NA	NA
1944	6	1	972	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1945	6	1	973	F	Dahomey	Sweden	1	P	251	10	13	NA	1	1	2	NA	NA	NA
1946	6	1	973	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1951	6	1	976	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1952	6	1	976	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1953	6	1	977	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1954	6	1	977	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1955	6	1	978	F	Dahomey	Barcelona	1	P	257	10	19	0.985	22	32	54	NA	NA	NA
1956	6	1	978	M	Barcelona	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1957	6	1	979	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1958	6	1	979	M	Barcelona	Israel	1	P	277	11	15	NA	NA	NA	NA	0	66	0.0000000
1959	6	1	980	F	Sweden	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1960	6	1	980	M	Barcelona	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1961	6	1	981	F	Barcelona	Brownsville	1	N	255	10	17	0.989	8	8	16	NA	NA	NA
1962	6	1	981	M	Brownsville	Barcelona	1	N	287	12	1	0.919	NA	NA	NA	0	66	0.0000000
1963	6	1	982	F	Brownsville	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1964	6	1	982	M	Brownsville	Brownsville	1	L	247	10	9	0.999	NA	NA	NA	0	90	0.0000000
1965	6	1	983	F	Dahomey	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1966	6	1	983	M	Brownsville	Dahomey	1	L	NA	NA	NA	0.910	NA	NA	NA	0	14	0.0000000
1967	6	1	984	F	Israel	Brownsville	0	P	NA	NA	NA	NA	0	0	0	NA	NA	NA
1968	6	1	984	M	Brownsville	Israel	0	P	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1969	6	1	985	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1970	6	1	985	M	Brownsville	Sweden	1	P	240	10	2	0.999	NA	NA	NA	0	0	0.0000000
1971	6	1	986	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1972	6	1	986	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1973	6	1	987	F	Brownsville	Dahomey	1	P	242	10	4	1.024	29	30	59	NA	NA	NA
1974	6	1	987	M	Dahomey	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1975	6	1	988	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1976	6	1	988	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1977	6	1	989	F	Israel	Dahomey	1	L	242	10	4	NA	0	0	0	NA	NA	NA
1978	6	1	989	M	Dahomey	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1979	6	1	990	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1980	6	1	990	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1981	6	1	991	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1982	6	1	991	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1983	6	1	992	F	Brownsville	Israel	1	P	245	10	7	0.996	23	18	41	NA	NA	NA
1984	6	1	992	M	Israel	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1985	6	1	993	F	Dahomey	Israel	1	L	250	10	12	NA	0	0	0	NA	NA	NA
1986	6	1	993	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1987	6	1	994	F	Israel	Israel	1	L	272	11	10	0.994	2	4	6	NA	NA	NA
1988	6	1	994	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1989	6	1	995	F	Sweden	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1990	6	1	995	M	Israel	Sweden	1	L	243	10	5	1.012	NA	NA	NA	0	4	0.0000000
1991	6	1	996	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
1992	6	1	996	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1993	6	1	997	F	Brownsville	Sweden	1	N	242	10	4	1.033	26	28	54	NA	NA	NA
1994	6	1	997	M	Sweden	Brownsville	1	N	257	10	19	0.906	NA	NA	NA	48	60	0.4444444
1995	6	1	998	F	Dahomey	Sweden	1	L	275	11	13	0.908	0	0	0	NA	NA	NA
1996	6	1	998	M	Sweden	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
1997	6	1	999	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
1998	6	1	999	M	Sweden	Israel	1	L	248	10	10	0.987	NA	NA	NA	124	23	0.8435374
1999	6	1	1000	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2000	6	1	1000	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2001	6	1	1001	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2002	6	1	1001	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2003	6	1	1002	F	Brownsville	Barcelona	1	N	269	11	7	1.042	23	15	38	NA	NA	NA
2004	6	1	1002	M	Barcelona	Brownsville	1	N	271	11	9	0.963	NA	NA	NA	97	24	0.8016529
2005	6	1	1003	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2006	6	1	1003	M	Barcelona	Dahomey	1	P	244	10	6	1.059	NA	NA	NA	58	9	0.8656716
2007	6	1	1004	F	Israel	Barcelona	1	P	250	10	12	NA	27	21	48	NA	NA	NA
2008	6	1	1004	M	Barcelona	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2009	6	1	1005	F	Sweden	Barcelona	1	P	248	10	10	1.149	23	20	43	NA	NA	NA
2010	6	1	1005	M	Barcelona	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2011	6	1	1006	F	Barcelona	Brownsville	1	N	274	11	12	NA	0	0	0	NA	NA	NA
2012	6	1	1006	M	Brownsville	Barcelona	1	N	242	10	4	1.030	NA	NA	NA	0	32	0.0000000
2013	6	1	1007	F	Brownsville	Brownsville	1	N	254	10	16	NA	0	0	0	NA	NA	NA
2014	6	1	1007	M	Brownsville	Brownsville	1	N	243	10	5	0.947	NA	NA	NA	0	0	0.0000000
2015	6	1	1008	F	Dahomey	Brownsville	1	L	253	10	15	1.157	48	26	74	NA	NA	NA
2016	6	1	1008	M	Brownsville	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2017	6	1	1009	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2018	6	1	1009	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2019	6	1	1010	F	Sweden	Brownsville	1	N	266	11	4	0.998	1	2	3	NA	NA	NA
2020	6	1	1010	M	Brownsville	Sweden	1	N	288	12	2	NA	NA	NA	NA	0	0	0.0000000
2021	6	1	1011	F	Barcelona	Dahomey	1	N	247	10	9	1.092	16	26	42	NA	NA	NA
2022	6	1	1011	M	Dahomey	Barcelona	1	N	250	10	12	1.060	NA	NA	NA	45	3	0.9375000
2023	6	1	1012	F	Brownsville	Dahomey	1	N	272	11	10	1.005	14	21	35	NA	NA	NA
2024	6	1	1012	M	Dahomey	Brownsville	1	N	284	11	22	1.021	NA	NA	NA	4	0	1.0000000
2025	6	1	1013	F	Dahomey	Dahomey	1	P	245	10	7	1.074	38	32	70	NA	NA	NA
2026	6	1	1013	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2027	6	1	1014	F	Israel	Dahomey	1	N	274	11	12	0.967	0	0	0	NA	NA	NA
2028	6	1	1014	M	Dahomey	Israel	1	N	241	10	3	1.042	NA	NA	NA	0	54	0.0000000
2029	6	1	1015	F	Sweden	Dahomey	1	L	240	10	2	NA	33	31	64	NA	NA	NA
2030	6	1	1015	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2031	6	1	1016	F	Barcelona	Israel	1	P	248	10	10	1.106	22	30	52	NA	NA	NA
2032	6	1	1016	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2033	6	1	1017	F	Brownsville	Israel	1	N	245	10	7	1.063	7	9	16	NA	NA	NA
2034	6	1	1017	M	Israel	Brownsville	1	N	272	11	10	0.876	NA	NA	NA	0	96	0.0000000
2035	6	1	1018	F	Dahomey	Israel	1	N	252	10	14	0.985	18	21	39	NA	NA	NA
2036	6	1	1018	M	Israel	Dahomey	1	N	263	10	1	0.904	NA	NA	NA	0	58	0.0000000
2037	6	1	1019	F	Israel	Israel	1	L	231	9	17	1.053	28	25	53	NA	NA	NA
2038	6	1	1019	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2039	6	1	1020	F	Sweden	Israel	1	N	238	9	0	1.205	0	0	0	NA	NA	NA
2040	6	1	1020	M	Israel	Sweden	1	N	247	10	9	NA	NA	NA	NA	NA	NA	NA
2041	6	1	1021	F	Barcelona	Sweden	1	L	273	11	11	1.106	31	38	69	NA	NA	NA
2042	6	1	1021	M	Sweden	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2043	6	1	1022	F	Brownsville	Sweden	1	L	275	11	13	NA	0	0	0	NA	NA	NA
2044	6	1	1022	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2045	6	1	1023	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2046	6	1	1023	M	Sweden	Dahomey	1	L	252	10	14	NA	NA	NA	NA	0	19	0.0000000
2049	6	1	1025	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2050	6	1	1025	M	Sweden	Sweden	1	L	268	11	6	NA	NA	NA	NA	0	0	0.0000000
2051	6	1	1026	F	Barcelona	Barcelona	1	N	257	10	19	1.090	21	26	47	NA	NA	NA
2052	6	1	1026	M	Barcelona	Barcelona	1	N	255	10	17	0.995	NA	NA	NA	90	0	1.0000000
2053	6	1	1027	F	Brownsville	Barcelona	1	N	270	11	8	NA	0	0	0	NA	NA	NA
2054	6	1	1027	M	Barcelona	Brownsville	1	N	255	10	17	0.995	NA	NA	NA	0	16	0.0000000
2055	6	1	1028	F	Dahomey	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2056	6	1	1028	M	Barcelona	Dahomey	1	L	255	10	17	0.973	NA	NA	NA	70	68	0.5072464
2057	6	1	1029	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2058	6	1	1029	M	Barcelona	Israel	1	L	275	11	13	NA	NA	NA	NA	0	0	0.0000000
2059	6	1	1030	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2060	6	1	1030	M	Barcelona	Sweden	1	L	268	11	6	0.965	NA	NA	NA	81	33	0.7105263
2063	6	1	1032	F	Brownsville	Brownsville	1	L	245	10	7	1.165	39	34	73	NA	NA	NA
2064	6	1	1032	M	Brownsville	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2065	6	1	1033	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2066	6	1	1033	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2067	6	1	1034	F	Israel	Brownsville	1	N	250	10	12	1.070	24	25	49	NA	NA	NA
2068	6	1	1034	M	Brownsville	Israel	1	N	254	10	16	NA	NA	NA	NA	0	99	0.0000000
2069	6	1	1035	F	Sweden	Brownsville	1	N	258	10	20	0.994	0	0	0	NA	NA	NA
2070	6	1	1035	M	Brownsville	Sweden	1	N	274	11	12	0.902	NA	NA	NA	0	43	0.0000000
2071	6	1	1036	F	Barcelona	Dahomey	1	N	241	10	3	1.103	22	23	45	NA	NA	NA
2072	6	1	1036	M	Dahomey	Barcelona	1	N	254	10	16	0.981	NA	NA	NA	14	29	0.3255814
2073	6	1	1037	F	Brownsville	Dahomey	1	N	230	9	16	0.916	20	20	40	NA	NA	NA
2074	6	1	1037	M	Dahomey	Brownsville	1	N	242	10	4	0.995	NA	NA	NA	0	17	0.0000000
2075	6	1	1038	F	Dahomey	Dahomey	1	L	252	10	14	1.102	27	28	55	NA	NA	NA
2076	6	1	1038	M	Dahomey	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2077	6	1	1039	F	Israel	Dahomey	1	N	259	10	21	1.076	19	18	37	NA	NA	NA
2078	6	1	1039	M	Dahomey	Israel	1	N	275	11	13	0.944	NA	NA	NA	121	0	1.0000000
2079	6	1	1040	F	Sweden	Dahomey	1	L	269	11	7	1.003	24	23	47	NA	NA	NA
2080	6	1	1040	M	Dahomey	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2081	6	1	1041	F	Barcelona	Israel	1	L	245	10	7	1.212	0	0	0	NA	NA	NA
2082	6	1	1041	M	Israel	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2083	6	1	1042	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2084	6	1	1042	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2087	6	1	1044	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2088	6	1	1044	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2089	6	1	1045	F	Sweden	Israel	1	L	276	11	14	0.940	6	13	19	NA	NA	NA
2090	6	1	1045	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2091	6	1	1046	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2092	6	1	1046	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2093	6	1	1047	F	Brownsville	Sweden	1	L	254	10	16	0.897	8	14	22	NA	NA	NA
2094	6	1	1047	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2095	6	1	1048	F	Dahomey	Sweden	1	N	252	10	14	1.011	17	27	44	NA	NA	NA
2096	6	1	1048	M	Sweden	Dahomey	1	N	262	10	0	0.970	NA	NA	NA	106	8	0.9298246
2097	6	1	1049	F	Israel	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2098	6	1	1049	M	Sweden	Israel	1	L	286	12	0	NA	NA	NA	NA	0	0	0.0000000
2099	6	1	1050	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2100	6	1	1050	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2101	6	1	1051	F	Barcelona	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2102	6	1	1051	M	Barcelona	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2103	6	1	1052	F	Brownsville	Barcelona	1	N	252	10	14	1.085	27	28	55	NA	NA	NA
2104	6	1	1052	M	Barcelona	Brownsville	1	N	277	11	15	0.917	NA	NA	NA	0	82	0.0000000
2105	6	1	1053	F	Dahomey	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2106	6	1	1053	M	Barcelona	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2107	6	1	1054	F	Israel	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2108	6	1	1054	M	Barcelona	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2109	6	1	1055	F	Sweden	Barcelona	1	P	259	10	21	0.936	10	9	19	NA	NA	NA
2110	6	1	1055	M	Barcelona	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2111	6	1	1056	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2112	6	1	1056	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2113	6	1	1057	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2114	6	1	1057	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2115	6	1	1058	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2116	6	1	1058	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2117	6	1	1059	F	Israel	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2118	6	1	1059	M	Brownsville	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2119	6	1	1060	F	Sweden	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2120	6	1	1060	M	Brownsville	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2121	6	1	1061	F	Barcelona	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2122	6	1	1061	M	Dahomey	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2123	6	1	1062	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2124	6	1	1062	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2125	6	1	1063	F	Dahomey	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2126	6	1	1063	M	Dahomey	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2127	6	1	1064	F	Israel	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2128	6	1	1064	M	Dahomey	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2129	6	1	1065	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2130	6	1	1065	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2131	6	1	1066	F	Barcelona	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2132	6	1	1066	M	Israel	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2133	6	1	1067	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2134	6	1	1067	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2135	6	1	1068	F	Dahomey	Israel	1	N	256	10	18	0.999	28	18	46	NA	NA	NA
2136	6	1	1068	M	Israel	Dahomey	1	N	275	11	13	0.827	NA	NA	NA	0	30	0.0000000
2137	6	1	1069	F	Israel	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2138	6	1	1069	M	Israel	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2139	6	1	1070	F	Sweden	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2140	6	1	1070	M	Israel	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2141	6	1	1071	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2142	6	1	1071	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2143	6	1	1072	F	Brownsville	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2144	6	1	1072	M	Sweden	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2145	6	1	1073	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2146	6	1	1073	M	Sweden	Dahomey	1	P	274	11	12	NA	NA	NA	NA	0	49	0.0000000
2147	6	1	1074	F	Israel	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2148	6	1	1074	M	Sweden	Israel	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2149	6	1	1075	F	Sweden	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2150	6	1	1075	M	Sweden	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2151	6	1	1076	F	Barcelona	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2152	6	1	1076	M	Barcelona	Barcelona	1	L	244	10	6	NA	NA	NA	NA	0	0	0.0000000
2153	6	1	1077	F	Brownsville	Barcelona	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2154	6	1	1077	M	Barcelona	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2155	6	1	1078	F	Dahomey	Barcelona	1	N	256	10	18	1.080	13	4	17	NA	NA	NA
2156	6	1	1078	M	Barcelona	Dahomey	1	N	245	10	7	1.017	NA	NA	NA	46	38	0.5476190
2157	6	1	1079	F	Israel	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2158	6	1	1079	M	Barcelona	Israel	1	L	243	10	5	1.059	NA	NA	NA	50	2	0.9615385
2159	6	1	1080	F	Sweden	Barcelona	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2160	6	1	1080	M	Barcelona	Sweden	1	P	261	10	23	0.952	NA	NA	NA	107	53	0.6687500
2161	6	1	1081	F	Barcelona	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2162	6	1	1081	M	Brownsville	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2163	6	1	1082	F	Brownsville	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2164	6	1	1082	M	Brownsville	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2165	6	1	1083	F	Dahomey	Brownsville	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2166	6	1	1083	M	Brownsville	Dahomey	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2167	6	1	1084	F	Israel	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2168	6	1	1084	M	Brownsville	Israel	1	P	269	11	7	NA	NA	NA	NA	0	79	0.0000000
2169	6	1	1085	F	Sweden	Brownsville	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2170	6	1	1085	M	Brownsville	Sweden	1	P	260	10	22	0.993	NA	NA	NA	0	45	0.0000000
2171	6	1	1086	F	Barcelona	Dahomey	1	L	258	10	20	1.057	25	28	53	NA	NA	NA
2172	6	1	1086	M	Dahomey	Barcelona	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2173	6	1	1087	F	Brownsville	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2174	6	1	1087	M	Dahomey	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2175	6	1	1088	F	Dahomey	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2176	6	1	1088	M	Dahomey	Dahomey	1	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2177	6	1	1089	F	Israel	Dahomey	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2178	6	1	1089	M	Dahomey	Israel	1	L	262	10	0	0.988	NA	NA	NA	0	48	0.0000000
2179	6	1	1090	F	Sweden	Dahomey	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2180	6	1	1090	M	Dahomey	Sweden	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2181	6	1	1091	F	Barcelona	Israel	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2182	6	1	1091	M	Israel	Barcelona	1	P	257	10	19	NA	NA	NA	NA	NA	NA	NA
2183	6	1	1092	F	Brownsville	Israel	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2184	6	1	1092	M	Israel	Brownsville	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2185	6	1	1093	F	Dahomey	Israel	1	P	275	11	13	NA	13	18	31	NA	NA	NA
2186	6	1	1093	M	Israel	Dahomey	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2187	6	1	1094	F	Israel	Israel	1	P	245	10	7	1.100	19	24	43	NA	NA	NA
2188	6	1	1094	M	Israel	Israel	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2189	6	1	1095	F	Sweden	Israel	1	L	251	10	13	1.124	21	45	66	NA	NA	NA
2190	6	1	1095	M	Israel	Sweden	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2191	6	1	1096	F	Barcelona	Sweden	0	L	NA	NA	NA	NA	0	0	0	NA	NA	NA
2192	6	1	1096	M	Sweden	Barcelona	0	L	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2193	6	1	1097	F	Brownsville	Sweden	1	L	275	11	13	NA	0	0	0	NA	NA	NA
2194	6	1	1097	M	Sweden	Brownsville	0	N	NA	NA	NA	NA	NA	NA	NA	0	0	0.0000000
2195	6	1	1098	F	Dahomey	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2196	6	1	1098	M	Sweden	Dahomey	1	L	253	10	15	1.071	NA	NA	NA	58	81	0.4172662
2197	6	1	1099	F	Israel	Sweden	1	N	NA	NA	NA	1.114	9	14	23	NA	NA	NA
2198	6	1	1099	M	Sweden	Israel	1	N	278	11	16	NA	NA	NA	NA	0	0	0.0000000
2199	6	1	1100	F	Sweden	Sweden	0	N	NA	NA	NA	NA	0	0	0	NA	NA	NA
2200	6	1	1100	M	Sweden	Sweden	1	P	274	11	12	NA	NA	NA	NA	0	0	0.0000000

Columns represent:

Individual: the focal fly being tested.

Block: the distinct peirod of time that the particular individual was tested.

Duplicate: Was the fly from the first independent mitochondrial duplicate copy or the second?

Replicate: A set of all possible combinations of the 5 haplotypes. Each replicate contained 25 cells.

Sex: was the focal individual female or male?

Focal_haplotype: what mtDNA haplotype did the focal individual carry?

Social_haplotype: what mtDNA haplotype did the social competitor of the focal individual carry?

Survived: did the focal individual die as a larva (L), as a pupa (P) or survive to adutlhood (N)?

Social_survival: did the social competitor die as a larva (L), as a pupa (P) or survive to adutlhood (N)?

Dev_time: how many hours did it take for the focal individual to progress from an egg to an adult. NA values indicate where individuals did not survive or development time could not be measured.

Day: how many days did it take the focal individual to develop?

Hours: lights were turned on at 7am every morning. How many hours did it take for individuals to eclose after this time?

Wing_length: what was the length in mm of the focal individuals right wing?

Maternal_female_offspring: how many adult female offspring did a focal female produce in a two day period?

Maternal_male_offspring: how many adult male offspring did a focal female produce in a two day period?

Maternal_total_offspring: how many adult offspring did a focal female produce in a two day period?

Paternal_focal_offspring: how many red-eye phenotype offspring were there across the two vials in the male adult fitness assay?

Paternal_bw_offspring: how many brown-eye phenotype offspring were there across the two vials in the male adult fitness assay?

R session information

This section provides information on the operating system and R packages attached during the production of this document, to allow easier replication of the analysis.

sessionInfo() %>% pander

R version 3.6.1 (2019-07-05)

Platform: x86_64-apple-darwin15.6.0 (64-bit)

locale: en_AU.UTF-8||en_AU.UTF-8||en_AU.UTF-8||C||en_AU.UTF-8||en_AU.UTF-8

attached base packages: stats, graphics, grDevices, utils, datasets, methods and base

other attached packages: groupdata2(v.1.1.2), forcats(v.0.4.0), stringr(v.1.4.0), pander(v.0.6.3), kableExtra(v.1.1.0), ggResidpanel(v.0.3.0), ggbeeswarm(v.0.6.0), ggpubr(v.0.2.2), magrittr(v.1.5), ggstance(v.0.3.2), ggExtra(v.0.8), ggridges(v.0.5.1), ggThemeAssist(v.0.1.5), ggplot2(v.3.2.1), MuMIn(v.1.43.6), dplyr(v.0.8.3), car(v.3.0-3), carData(v.3.0-2), brms(v.2.9.0), Rcpp(v.1.0.2), glmmTMB(v.0.2.3), lmerTest(v.3.1-0), lme4(v.1.1-21) and Matrix(v.1.2-17)

loaded via a namespace (and not attached): minqa(v.1.2.4), colorspace(v.1.4-1), ggsignif(v.0.6.0), rio(v.0.5.16), rsconnect(v.0.8.15), markdown(v.1.1), base64enc(v.0.1-3), rstudioapi(v.0.10), rstan(v.2.19.2), DT(v.0.8), xml2(v.1.2.2), bridgesampling(v.0.7-2), splines(v.3.6.1), robustbase(v.0.93-5), knitr(v.1.24), shinythemes(v.1.1.2), zeallot(v.0.1.0), bayesplot(v.1.7.0), jsonlite(v.1.6), nloptr(v.1.2.1), shiny(v.1.3.2), readr(v.1.3.1), httr(v.1.4.1), compiler(v.3.6.1), backports(v.1.1.4), assertthat(v.0.2.1), lazyeval(v.0.2.2), cli(v.1.1.0), later(v.0.8.0), formatR(v.1.7), htmltools(v.0.3.6), prettyunits(v.1.0.2), tools(v.3.6.1), igraph(v.1.2.4.1), coda(v.0.19-3), gtable(v.0.3.0), glue(v.1.3.1), reshape2(v.1.4.3), cellranger(v.1.1.0), vctrs(v.0.2.0), nlme(v.3.1-140), crosstalk(v.1.0.0), xfun(v.0.8), ps(v.1.3.0), rvest(v.0.3.4), openxlsx(v.4.1.0.1), mime(v.0.7), miniUI(v.0.1.1.1), gtools(v.3.8.1), DEoptimR(v.1.0-8), MASS(v.7.3-51.4), zoo(v.1.8-6), scales(v.1.0.0), colourpicker(v.1.0), hms(v.0.5.0), promises(v.1.0.1), Brobdingnag(v.1.2-6), parallel(v.3.6.1), inline(v.0.3.15), qqplotr(v.0.0.3), shinystan(v.2.5.0), TMB(v.1.7.15), yaml(v.2.2.0), curl(v.4.0), gridExtra(v.2.3), loo(v.2.1.0), StanHeaders(v.2.18.1-10), stringi(v.1.4.3), highr(v.0.8), dygraphs(v.1.1.1.6), boot(v.1.3-22), pkgbuild(v.1.0.4), zip(v.2.0.3), rlang(v.0.4.0), pkgconfig(v.2.0.2), matrixStats(v.0.54.0), evaluate(v.0.14), lattice(v.0.20-38), purrr(v.0.3.2), labeling(v.0.3), rstantools(v.1.5.1), htmlwidgets(v.1.3), cowplot(v.1.0.0), processx(v.3.4.1), tidyselect(v.0.2.5), plyr(v.1.8.4), R6(v.2.4.0), pillar(v.1.4.2), haven(v.2.1.1), foreign(v.0.8-71), withr(v.2.1.2), xts(v.0.11-2), abind(v.1.4-5), tibble(v.2.1.3), crayon(v.1.3.4), plotly(v.4.9.0), rmarkdown(v.1.14), grid(v.3.6.1), readxl(v.1.3.1), data.table(v.1.12.2), callr(v.3.3.1), threejs(v.0.3.1), webshot(v.0.5.1), digest(v.0.6.20), xtable(v.1.8-4), tidyr(v.0.8.3), httpuv(v.1.5.1), numDeriv(v.2016.8-1.1), stats4(v.3.6.1), munsell(v.0.5.0), viridisLite(v.0.3.0), beeswarm(v.0.2.3), vipor(v.0.4.5) and shinyjs(v.1.0)

References

Brooks, Mollie E, Kasper Kristensen, Koen J van Benthem, Arni Magnusson, Casper W Berg, Anders Nielsen, Hans J Skaug, Martin Maechler, and Benjamin M Bolker. 2017. “Modeling Zero-Inflated Count Data with glmmTMB.” Journal Article. BioRxiv, 132753.

Symonds, Matthew R. E., and Adnan Moussalli. 2011. “A Brief Guide to Model Selection, Multimodel Inference and Model Averaging in Behavioural Ecology Using Akaike’s Information Criterion.” Journal Article. Behavioral Ecology and Sociobiology 65 (1): 13–21. https://doi.org/10.1007/s00265-010-1037-6.